Detect Human Body In Image Opencv


Q&A for practitioners of the art and science of signal, image and video processing Stack Exchange Network Stack Exchange network consists of 176 Q&A communities including Stack Overflow , the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. You are using the training set that opencv is giving you which it doesn't correspond to the kind of images you are using. Overall, the upper-body detector algorithm we release here is: 1. In this tutorial we will use a classifier called "haarcascade_frontalface_default. In this article, we will focus on human pose estimation, where it is required to detect and localize the major parts/joints of the body ( e. Recognizing and identifying still images enables locating similar faces in driver’s license databases while helping detect duplicates. The project is funded by INRIA(France –based Research Organization). How to detect human body parts in real time. But I want to change the rectangle to a transparent image (a shirt for example) overlays on a real-time opencv camera when a body is detected. Whether or not the application will detect people depends on the models used, therefore three are tested: Haar Face, Haar Upper body and Haar Upper body MCS. I want to use OpenCv for this project, but I don`t know if openCv works with C#. HOG Descriptor in Octave / MATLAB. I have to detect human body parts i. A hardware machine should detect the squats and count the squats. 2: The Depth Image - Kinect and Processing Tutorial. System Design - Download as Word Doc (. Now that we have installed all the necessary dependencies, we are ready to create our own face recognition system using OpenCV. The substracted image is further processed to filter out noise, to get the largest contour and to create a mask. In this article, we will focus on human pose estimation, where it is required to detect and localize the major parts/joints of the body ( e. I have a camera that will be stationary, pointed at an indoors area. fingertip_detector. The webcam based image control system is designed and developed based on the traditional image control finger behavior, and traditional webcam. Methods To overcome the problems that individual detectors face, we utilize a collection of different detectors. The search for best match is done in a multi-scale image pyramid. So, why do you need tracking in the first place? Let's explore the different reasons you may want to track objects in a video and not just do repeated detections. Last week we learned how to compute the center of a contour using OpenCV. A color image is a digital array of pixel containing a color information. It is similar to finding. It runs quite slowly on CPUs including desktop x86 CPUs, but OpenCV includes a CUDA-accelerated version in the OpenCV "gpu" module that runs much faster. 2 We use a person detection system proposed byFelzenszwalb et al. Previous use of OpenCV in C++ and C++ in general means it should be quite easy to pick up again and the fact that it works cross platform maximises the project's potential usage. Pedestrian Detection OpenCV - how to detect and track humans in images and video streams. Vision-based human action recognition is the process of labeling image sequences with action labels. Human beings have an innate ability to detect, process and recognize faces — we’re born with it. gitignorephriky-units-master/. The detection was tested on a video sequence and various image processing methods were selected. In this quickstart, you will create a Python script that uses the Azure Face API, through the Python SDK, to detect human faces in a remote image. Opencv Human Body Detection Codes and Scripts Downloads Free. I will use my webcam and I want my alghorithm to work on a live stream I am new in this area and I really need some directions. Tutorial: Real-Time Object Tracking Using OpenCV. Let’s start with the simplest example. determine whether or not the user is human. The method gets the first parameter as a buffer, decodes it to an OpenCV Mat image, detects the faces within the image using the classifier (which should be placed next to the binary), and returns a JSON string containing the coordinates of the faces found in the image. OpenCV answers Hi there! Please Detect human body parts in objective c. Visual analysis of human faces draws from a large body of work in image processing. In contrast to a face detector these detectors will also work at very low: image resolutions : Acknowledgements ===== Thanks to Martin Spengler, ETH Zurich, for providing the demo movie. Firstly, the ability to detect the objects of interest by finding the image regions that will correspond to the objects. I want to use a Raspberry Pi connected to two IP camera's. A sample reconstruction result included which uses only four images of the scene. Opencv, macos, mouth detection algorithms on android application programming with opencv for android studio, manipulate, c opencv for opencv is android application. shoulders, ankle, knee, wrist etc. I know all the coordinates of joints in the point cloud. I tried doing the things you said but unfortunately the problem still occurs. More Galleries of Visual Skills: The 3 R’s That Detect Visual Perception. Now that we have installed all the necessary dependencies, we are ready to create our own face recognition system using OpenCV. Kindly suggest me a better solution. Search for jobs related to Opencv detect knees body or hire on the world's largest freelancing marketplace with 15m+ jobs. Since face detection is such a common case, OpenCV comes with a number of built-in cascades for detecting everything from faces to eyes to hands to legs. Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields Zhe Cao Tomas Simon Shih-En Wei Yaser Sheikh The Robotics Institute, Carnegie Mellon University fzhecao,shihenwg@cmu. See the complete profile on LinkedIn and discover Quang D. About This BookUse OpenCV's Python bindings to capture video, manipulate images, and track objectsLearn about the different functions of OpenCV and their actual implementations. A 10 years retrospective study (1996-2005) was conducted at University Hospital Kuala Lumpur (20 cases) also including cases during last 3 years from Hospital Tengku Ampuan Rahimah, Klang (7 cases. But, I still think it's at a good point to share. In the image above, the dark connected regions are blobs, and the goal of blob detection is to identify and mark these regions. How to save the image with the detected face. The detector used by OpenCV is based on Haar cascade classifiers presented by Paul Viloa and Michael Jones , as well as Lienhart and Maydt. This involves pattern recognition and image tagging using the OpenCV library. A short-circuit OR function would be. OpenCV is widely used, Adopted all around the world, for end users, it’s very mature and powerful, for developers it’s well implemented and designed. The action recognition is performed based on these posture estimations. OpenCV contains a module (imgproc) responsible for capturing images and videos. Tutorial: Real-Time Object Tracking Using OpenCV. OpenPose gathers three sets of trained models: one for body pose estimation, another one for hands and a last one for faces. Incorporates Image captioning, Language translation and face detection into one unit. In each frame of the observed video sequence, the posture of a human body is reconstructed from a variety of available image features. Recognize human activity in the given video. It can be used from C/C++/python and is open source & cross platform. Stack Exchange network consists of 176 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. I don't know anything about it. OpenCV3 Tutorials 11 Detecting lower body and Smile with OpenCV using Python Training Haar cascade object detection - OpenCV with Python for Image and Video Analysis 20 Human Detection,. Where to place an artificial gland in the human body?. Image by OpenPose. Please see our articles on ( Facial Landmark Detection using OpenCV and Facial Landmark Detection using Dlib). At first, I had no idea about it. Hi, I'm completely new and I'm in the process of learning. I am trying to design an algorithm using OpenCV and ROS that will detect/classify different poses of the human body: standing, sitting, lying, walking, moving upper part of body to grape some. These points would be different part of the body like face, shoulders, palms, elbows, torus etc. I want to create an Android application in which i want to detect human body from an image. how to get full human body from image using opencv [closed] Basit Iqbal 1. OpenCV comes with a HOG (Histogram of Oriented Gradients) sample person detector. OpenCV (eBook) | The Seattle Public Library | BiblioCommons. When the system detects the human, it tries to detect the hand and the tip of a finger. Computer Vision methods are used to acquire, analyze and understand videos and images. A human body detection and tracking demo using OpenCV. Further research may lead you to differ from my suggested approach, you can always provide a feedback. Download with Google Download with Facebook or download with email. OpenCV3 Tutorials 11 Detecting lower body and Smile with OpenCV using Python Training Haar cascade object detection - OpenCV with Python for Image and Video Analysis 20 Human Detection,. ’s connections and jobs at similar companies. HUMAN MOTION DETECTION SYSTEM (VIDEO MOTION DETECTION MODULE. Join LinkedIn Summary. human body detection in an image. I used the rectangle as identifier if a body is detected. how to get full human body from image using opencv [closed] Basit Iqbal 1. Last week we learned how to compute the center of a contour using OpenCV. It can detect and recognize a large variety of objects, but our focus now is to apply techniques and methods to detect and recognize the gestures of a human hand. Most image-processing techniques involve treating the im-. hi im workin with opencv n C++. People Tagger, or the Human Annotation Tool is an application Platforms: Windows Me, Windows 2000, Windows XP, Windows 2003. Although having several images of one. pdf), Text File (. An Image-Based Bone fracture Detection Using AForge Library Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. However, the cascade classifier fails to detect pedestrians or their body parts in our videos. In the below example we will see a step forward — Detecting the face and lower body. Many implementations for HOG are available too: LEAR - Software and Histograms of Oriented Grad. No image will be stored. Testing program was written in C++ language with use of OpenCV library. In the image below, you. You must set the MinSize property to a value greater than or equal to the image size used to train the model. The Research and Implementation of Face Detection and Recognition - Download as PDF File (. OpenCV 3 comes with a new tracking API that contains implementations of many single object tracking algorithms. People leave and reenter the image or disappear behind other objects. opencv, Image Stitching. State of the art Terminator. [10] use a novel interest point detector to solve the problem of detection and identifying body parts in depth images. 中が空洞になっている鉄製の打楽器スリットドラム 特徴ビートルートは、フランスで製造されたスチール·トングドラム. For this I use the canny edge detector and then the propabilistic Hough transform, with which I actually get the lines. I already have my codes for body detection and it works fine. Human Pose Estimation. Soon, it was implemented in OpenCV and face detection became synonymous with Viola and Jones algorithm. 28 Jul 2018 Arun Ponnusamy. Detect a color with opencv on an entire image. Here we will learn to apply the following function on an image using Python OpenCV: Bitwise Operations and Masking, Convolution & Blurring, Sharpening - Reversing the image blurs, Thresholding (Binarization), Dilation, Erosion, Opening/Closing, Edge detection and Image gradients, Perspective & Affine. Currently OpenCV is using Haar feature based cascaded classifier for face detection [10]. I hope, that the Opencv 2. While it is not a ready made solution it can be used to construct such solutions as can be seen with the examples of pedestrian detection & face detection presumably you would need to do both to build a "people" detector. Hi, I want to do my project of tracking people using kalman filter. IMAGE PROCESSING: In imaging science, image processing is any form of signal processing for which the input is an image, such as a photograph or video frame; the output of image processing may be either an image or a set of char-acteristics or parameters related to the image. Anderson Plumer, a former NASA contractor employee who developed his expertise with General Electric Company's High Voltage Laboratory - was a key player in Langley Research Center's Storm Hazards Research Program. OpenCV has features for Image Processing, Pattern Recognition, and Photogrammetry fields. I want to create an Android application in which i want to detect human body from an image. Today we share with you complete final year project report and this is latest final year project proposal about Surveillance System. What is the best way to detect human body? Is Haar-like will help to me? or HOG method will help??. The first step is to download and build the latest OpenCV 2. The main function included in the attached file is called FRAME. Python opencv code. Introduction to OpenCV The OpenCV Tutorials, Release 2. I want to detect both full and half body. OpenCV for Python enables us to run computer vision algorithms in real time. I need to input a lot of images and using haar detection to detect the people. Today, a new generation of machine learning based systems is making it possible to detect human body language directly from images. But I want to change the rectangle to a transparent image (a shirt for example) overlays on a real-time opencv camera when a body is detected. Full source code for Human detection in still image. OpenCV 3 comes with a new tracking API that contains implementations of many single object tracking algorithms. Description. The first thing we need is to read the image from the webcam. OpenCV is a cross platform open-source software package that contains a huge number of programming functions that give the user a gateway to interact with computer vision. It focuses mainly on real-time image processing. Human Pose Estimation. I am implementing an iOS app. ymlphriky-units-master/. Allowing OpenCV functions to be called from. 4 Detect face using Viola Jones Algorithm 36-37 4. ), identification of specific. Step#1: We should have an image. With over 7 years of experience, my passion for achieving worldwide impact in the ever-changing IT landscape has led to superior outcomes with every team I have been privileged to work with, including creating unprecedented products involving advanced human computer interaction technology. ; objectsBuf - Buffer to store detected objects (rectangles). However, I found. Evaluate the projective reconstruction. learning opencv 3 application development Download learning opencv 3 application development or read online here in PDF or EPUB. It is quite a good outcome, considering that this test is very uneasy, and contains a great number bad-read images of letters. Now, I am looking forward to create a Neural Network program that can recognize individual human faces. The second step is to convert the image into a grayscale image. It is related to European Consortium project PIPER which deals with modifying Human Body Finite Element models. a facial landmark detection), we detect landmarks on a human face. This project developed a set of the computer programs that control stereo camera or Kinect depth sensors to acquire human body images, calculates 3D coordinates of the body surface, reconstruct. OpenPose represents the first real-time system to jointly detect human body and hand keypoints on single images. In general, human body extraction from still image is an extremely difficult problem due to various poses of human body and. We have written extensively on the topic. Whether or not the application will detect people depends on the models used, therefore three are tested: Haar Face, Haar Upper body and Haar Upper body MCS. This video shows image processing in c# using emgucv. This is really for long tutorial, but you can do image annotation in windows as well and maybe use the new tool opencv_annotation,exe, but i dont have any experience with this. The next section looks at advanced machine learning and deep learning methods for image processing and classification. regress face detections to obtain secondary upper-body detections 4. In the below example we will see a step forward — Detecting the face and lower body. gitignorephriky-units-master/. The task is to let the camera recognise and locate certain parts of human body and add some set images into it, like a “snapchat” function. Here we will learn to apply the following function on an image using Python OpenCV: Bitwise Operations and Masking, Convolution & Blurring, Sharpening - Reversing the image blurs, Thresholding (Binarization), Dilation, Erosion, Opening/Closing, Edge detection and Image gradients, Perspective & Affine. I am working on a project in human body gesture recognition, I came across your video "Human joints detection and tracking using OpenCV without Kinect" and I found it interesting and relevant. I am actually trying to detect human upper bodies… I have trained my samples by HOG cascade technique using traincascade in OpenCV. Then, a ratio test is applied to the two direction matches in order to remove these matches which its distance ratio between the first and second. Where to place an artificial gland in the human body?. py haarcascade_frontalcatface. (openCV + C++) or (openCV + Java), which one is best for video image procession (edge detecting, object recognization, and working with human body part)?. If a window fails the first stage, discard it. If you have followed any of my OpenCV install tutorials on PyImageSearch you will have the contrib module installed. We release here software for human upper body detection in still images. We will learn how to use this framework to detect and track other body parts, such as eyes, ears, mouth, and nose. How to relocate face points in opencv / face distortion. We want to check if there is still at least one pixel in the image, unfortunately I have not found a function for this task in OpenCV, therefore I just check if the maximum value is 0. The system emphasizes body tones that can be used for tracking, AR applications and so on. This code only shows the working of this code. Here is the sample code. These generators create a bridge between C++ and Python which enables users to call C++ functions from Python. The OpenCV developers used very basic principles which makes it very simple to understand and maintain. [10] use a novel interest point detector to solve the problem of detection and identifying body parts in depth images. I tried to look at emgu's face detection and downloaded "haarcascade_fullbody. Q&A for peer programmer code reviews. I have developed a robot that captures images of the pipeline interior as it moves. How to detect the color of a person's shirt, for tracking a human using OpenCV as opposed to the color of their entire shirt or body. You just provide an image or video to the Rekognition API, and the service can identify the objects, people, text, scenes, and activities, as well as detect any inappropriate content. How can I found the COG of each body part in human body skeleton detection? I am trying to design an algorithm using OpenCV and ROS that will detect/classify different poses of the human body. Face detection and tracking from webcam video feed. Here is a blog post that shows you how to train your own cascade to detect a banana. Search for jobs related to Opencv detect object or hire on the world's largest freelancing marketplace with 15m+ jobs. 11 Go, OpenCV, Caffe, and Tensorflow: Putting It All Together With GoCV. The function "cvHaarDetectObjects" in OpenCV performs the actual face detection, but the function is a bit tedious to use directly, so it is easiest to use this wrapper function:. edu ftsimon,yaserg@cs. How It Works. The task is to let the camera recognise and locate certain parts of human body and add some set images into it, like a “snapchat” function. While recognizing a face through a computer, the main challenge is to accurately match the input human face with the face image of the same person already stored in. 11 is not problem. png") Congratulations! You have created your own object detection model for pedestrian detection. Tracking vs Detection. This technique counts the occurrences of gradient orientation in localized portions of an image, is computed on a dense grid of uniformly spaced cells and uses overlapping local contrast. The following links explain Human detection using OpenCV:. 04 Marcin Eichner, Vittorio Ferrari Overview. Check it out. 3 with MinGW 4. Accounting & Finance. OpenCV has features for Image Processing, Pattern Recognition, and Photogrammetry fields. We create a system using OpenCV to be used as a library which will be used for human body skeleton detection and tracking. I want to detect the whole human body in android is there any way to do that ? I think there is an easy way to do that in opencv. 中が空洞になっている鉄製の打楽器スリットドラム 特徴ビートルートは、フランスで製造されたスチール·トングドラム. Hand Keypoint detection is the process of finding the joints on the fingers as well as the finger-tips in a given image. I worked in Huawei as a Software Engineer in Computer Vision and AI. 8-9 have wrong size of cascades in xml file. A growing number of. Quickstart: Create a Python script to detect and frame faces in an image. of a person as the primary upper-body detector. View Quang D. Expand your knowledge of computer vision by building amazing projects with OpenCV 3 About This Book Build computer vision projects to capture high-quality image data, detect and track objects, process the actions of humans or animals, and much more Discover practical and interesting innovations in computer vision while building atop a mature. Am aware of PIR (Passive Infra Red) sensor , which would human motion but not the human. Staff can edit their proposals, and also delete them, or make them unavailable temporarily. Every scene may have an articulated body moving. Hi everyone! I am trying to find the circumference of human part like waist, biceps etc. how to get full human body from image using opencv [closed] Basit Iqbal 1. Select the > icon to see more details of the proposal. Let's start with the simplest example. , full human body, lower body, and upper body). In the image below, you. In this article, I will present how I managed to use Tensorflow Object-detection API in a Docker container to perform both real-time (webcam) and video post-processing. I have to detect human body parts i. In ad-dition, the system computational performance on body keypoint estimation is invariant. py --image images/cat_02. I don't know anything about it. It is very easy and follow whatever i did in this video. In the original paper, the process was implemented for human body detection, and the detection chain was the following : a. txt) or read online for free. detect face free download. Now you can use this function to approximate the shape. Single-View Human Body Modeling. Hog python github. edu Abstract We present an approach to efficiently detect the 2D pose of multiple people in an image. After detection of human faces the program show detected faces in a separate window. before i answer, there is still a question of possibility which depends on what kind of image is being used as the input and which type of joints to detect from. The detection works well using the haarcascade classifier provided from OpenCV. Min uploaded by mark l delaunoy, opencv. All books are in clear copy here, and all files are secure so don't worry about it. Problem to compile OpenCV 2. Recognizing and identifying still images enables locating similar faces in driver’s license databases while helping detect duplicates. Currently OpenCV is using Haar feature based cascaded classifier for face detection [10]. Face Detection and Tracking With Arduino and OpenCV: UPDATES Feb 20, 2013: In response to a question by student Hala Abuhasna if you wish to use the. If you want to get a more thorough understanding start reading through the references linked below. The approach uses a non-. I haven't started coding yet(its just an idea), so i am not able to show you any codes. Find the contours in the image, and then crop it. With their short example. Hand Keypoint detection is the process of finding the joints on the fingers as well as the finger-tips in a given image. You just provide an image or video to the Rekognition API, and the service can identify the objects, people, text, scenes, and activities, as well as detect any inappropriate content. Let’s start with the simplest example. When the system detects the human, it tries to detect the hand and the tip of a finger. Automatic human detection and tracking is an important feature of video surveillance systems. I don't know anything about it. to estimate the con®guration of human-parts in a still image. has 6 jobs listed on their profile. OpenCV answers Hi there! Please Detect human body parts in objective c. Recognize human activity in the given video. Currently OpenCV is using Haar feature based cascaded classifier for face detection [10]. flow - computed flow image that has the same size as prev and type CV_32FC2. Step#1: We should have an image. I will use my webcam and I want my alghorithm to work on a live stream I am new in this area and I really need some directions. HOG introduced another texture-based method which uses high-dimensional features based on edges and then applies SVM to detect human body regions. View Nisha Gandhi’s profile on LinkedIn, the world's largest professional community. A bootstrap project for prototyping cloud image processing server. ” ! “I recognize that this human face is Joe Howse’s face. We create a system using OpenCV to be used as a library which will be used for human body skeleton detection and tracking. OpenCV provides a convenient way to detect blobs and filter them based on different characteristics. Computer Vison Syndrome Prevention Using OpenCV - Download as PDF File (. We briey discuss previous work on human detection in x2, give an overview of our method x3, describe our data sets in x4 and give a detailed description and experimental. 8 Removing Background From Gray Scale Image 39 4. 1 Live Face Detect via Web IP Camera Original source code structure!. As the sun rises and falls the image captured would change considerably, quite probably leading to false alarms. Robust to all lighting conditions and works with various 3D engines and browser APIs like Babylon. In the rest of this blog post, I’m going to detail (arguably) the most basic motion detection and tracking system you can build. Here is a blog post that shows you how to train your own cascade to detect a banana. You can easily get depth info using stereoscopic cameras I. Its full details are given here: Cascade Classifier Training. com, answers. Since the code is completed written in PHP it cannot attain the raw speed that C,C++ provides, but for many. Analytics. How product managers can learn what they need to know about AI to be at peak effectiveness. Here it is. 2 cameras placed at same height but separated by a small horizontal distance. Now, I am looking forward to create a Neural Network program that can recognize individual human faces. In this chapter, we are going to learn how to detect and track different body parts in a live video stream. docx), PDF File (. DOWNLOAD NOW » Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3 About This Book Get to grips with the basics of Computer Vision and image processing This is a step-by-step guide to developing several real-world Computer Vision projects using OpenCV 3 This book takes a special focus on working with Tesseract OCR, a free, open. xml images 1$ python cat_detector. These authors used either an indus-trial robotic arm or an XY-type planar robot. We briey discuss previous work on human detection in x2, give an overview of our method x3, describe our data sets in x4 and give a detailed description and experimental. Hi, I'm completely new and I'm in the process of learning. you can use OpenCV to create one. No image will be stored. To understand this, suppose you are trying to find a square in an image, but due to some problems in the image, you didn’t get a perfect square, but a “bad shape” (As shown in first image below). The new face detection and Processing. This tutorial will not explain how exactly OpenCV works, if you are interested in learning Image processing then check out this OpenCV basics and advanced Image processing tutorials. This dataset was collected as part of research work on detection of upright people in images and video. After detection of human faces the program show detected faces in a separate window. I did a bit of a research and I came across Histogram of Oriented Gradients method but based on my understanding what it does is detection instead of tracking. Changing Colorspaces; Image Thresholding; Geometric Transformations of Images; Smoothing Images; Morphological Transformations; Image Gradients; Canny Edge Detection; Image Pyramids; Contours in OpenCV; Histograms in OpenCV; Image Transforms in OpenCV; Template Matching; Hough Line Transform; Hough Circle Transform. Yesterday I was asked how to extract a contour from a given image in OpenCV. The whole Kinect set have a processor and a proper software, independent of the video game or computer, moreover it is able to capture 48 articulation points in human body [4]. So, why do you need tracking in the first place? Let's explore the different reasons you may want to track objects in a video and not just do repeated detections. Understanding Features; Harris Corner Detection; Shi-Tomasi Corner Detector & Good Features to Track; Introduction to SIFT (Scale-Invariant Feature Transform) Introduction to SURF (Speeded-Up. Computer Vision methods are used to acquire, analyze and understand videos and images. It is similar to finding. If a window fails the first stage, discard it. Description. Object Detection using Haar feature-based cascade classifiers is an effective object detection method. , but am not able to find a code which can detect the HOG cascade model…. You’ll see the OpenCV algorithms and how to use them for image processing. OpenCV includes inbuilt functionality to provide Haar cascade based object detection. py --image images/cat_02. Hidalgo, Z. Object detection is a key technology behind advanced driver assistance systems (ADAS) that enable cars to detect driving lanes or perform pedestrian detection to improve road safety. human body tracking in C# with OpenCv. Dear Professor Kartik Nagre, I am an italian student. How to Detect faces in Image using Nodejs and OpenCV. Human Body Detect APIDocumentation Use Face++ Human Body Detect API to detect human bodies within images, and get back body bounding box and attributes for each detected human body. Each point represents a spatial coordinate of a joint as shown in Fig. Problem to compile OpenCV 2. OpenCV for Python enables us to run computer vision algorithms in real time. 28 Jul 2018 Arun Ponnusamy. The method gets the first parameter as a buffer, decodes it to an OpenCV Mat image, detects the faces within the image using the classifier (which should be placed next to the binary), and returns a JSON string containing the coordinates of the faces found in the image. Preprocessing. A Software for human upper body detection in still images. HoughLines(). Motion-detection-OpenCV. Sometimes it is difficult to retrieve text from the image because of different size, style, orientation, complex background of image etc. fingertip_detector.