Search Results for "opencv tracking"
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Showing 20 open source projects for "opencv tracking"
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OpenCV
Open Source Computer Vision Library
OpenCV (Open Source Computer Vision Library) is a comprehensive open-source library for computer vision, machine learning, and image processing. It enables developers to build real-time vision applications ranging from facial recognition to object tracking. OpenCV supports a wide range of programming languages including C++, Python, and Java, and is optimized for both CPU and GPU operations. -
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Computer Vision in Action
A computer vision closed-loop learning platform
Computer Vision in Action is a practical, example-rich repository that demonstrates real-world applications of computer vision techniques and algorithms in Python, often using OpenCV, deep learning models, and related tooling. It serves as a hands-on companion for learners and engineers who want to understand not just the theory, but how computer vision is actually implemented for tasks like object detection, image classification, feature tracking, optical flow, and image segmentation. The repository includes structured code examples, scripts, and notebooks that cover pipeline construction, preprocessing, model inference, and visual output rendering, making it easy for newcomers or intermediate practitioners to adapt patterns to their own projects. ... -
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ArUco
Augmented reality library based on OpenCV
ArUco is a minimal library for Augmented Reality applications based exclusively on OpenCV. Relies on b/w markers with codes that are detected by calling a single function. Trivial integration of your augmented reality applications with OpenGL and OGRE. See documentation at https://drive.google.com/file/d/1OiavRVYVJ-WH88sQg1LUsh8CuJZUQyrX/view?usp=sharing -
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MarkerMapper
A cost-effective localization system using planar squared markers
This project allows the creation of cost-effective camera localization systems based on squared planar markers you can print at home. Print the markers, place them in the environment and record a video or take pictures of them. This project analyzes the images and returns the 3D location of the markers: the marker map. The map generated can be used by ArUCO library for localizing your camera. The library depends on Aruco for the marker detection:... -
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This program broken The program is a real-time face detection application built using OpenCV and Tkinter. It allows you to detect faces using your webcam and displays the video feed with rectangles drawn around the detected faces. When you run the program, a GUI window will appear. The window has a title "Real-time Face Detection" and a description below it. The description guides you to adjust the settings and click the "Start" button to begin face detection. The settings section...
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3DDFA
Fast, accurate and stable 3D dense face alignment
...See requirements.txt, tested on macOS and Linux platforms. The Windows users may refer to FQA for building issues. Note that this repo uses Python3. The major dependencies are PyTorch, numpy, opencv-python and onnxruntime, etc. -
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opencv4nodejs
Nodejs bindings to OpenCV 3 and OpenCV 4
OpenCV4NodeJS is a Node.js binding for OpenCV, allowing developers to integrate computer vision capabilities directly into JavaScript applications for image processing, object detection, and facial recognition. -
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GrapeBio Pre is developed based on OpenCV, and provides a simple yet effective image preprocessing pipeline to improve the quality of 4D bio images. Coupled with TGMM (https://www.nature.com/articles/nmeth.3036), it can substantially improve the segmenting and tracking accuracies.
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FaceTrackingMicroPC
Face Tracking using OpenCV on Orange Pi
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TrackingExample
This project presents simple marker detection and 3D augmentation
...The homography calculation needed for the augmentation can be performed using 4 different methods: -Direct Linear Transform, -basic OpenCV algorithm -OpenCV RANSAC based algorithm -OpenCV Least-Median based algorithm. During the tracking it is possible to change the camera settings in real time (brightness, contrast, hue and saturation as well as the camera resolution). The program detects the marker basing on the blob hue, minimal saturation and brightness (called value in HSV color space) as well as the palette maximal brightness. -
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cam-cv-mouse
Hnad tracking and mouse control using OpenCV na qt
Aim of this project is to find good algorithm for hand tracking problem using openCV -
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OpenTLD
OpenTLD is an open source library for real-time 2D tracking
OpenTLD is an open source implementation of the TLD (Tracking-Learning-Detection) framework, designed for real-time 2D tracking of a single object in video sequences. Because it fuses tracking and detection, TLD can recover from occlusions, drift, or failures by using its detection mechanism to reacquire the object. In terms of usage, one typically initializes the tracker by providing a bounding box on the first frame, then calls a function like run_TLD to process a video and obtain bounding... -
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QC_stereoCV_tracking
Quadrotor IR-Blob tracking with stereoCV
- StereoCV optical Tracking - With openFrameworks and openCV - Handle USB-camera - Calibrate stereoCV - Handle and track multiple IR-Blobs - Transform tracked blobs to realWorldValues - handsome GUI -
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User friendly open source object tracking software allowing for various control applications. Uses Opencv and embedded Python,allowing for multiple scripts to be written and shared.See webpage for more information http://openvisionc.sourceforge.net/
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TheTracker
tracker by WeaveBytes
The tracker is an object tracking application that use opencv to track objects in a video. Objects can be selected by doing mouse drag/drop on the video being rendered. It is under R & D by WeaveBytes. www.weavebytes.com -
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Computer vision tracking module written in C++ as an extension to OpenCV, this code is the foundation for the "Are We There Yet?" installation by Ken Goldberg and Gil Gershoni in the Contemporary Jewish Museum Mar 31 - Jul 31 2011.
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A C++ hand/finger tracking API using openCV. Detection of features is based on background substraction, color filtering and skin detection.
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This library uses OpenCV to perform head tracking and feature tracking to let you have 3d control over your developed 3d world with the aid of your head and a webcam. Uses Irrlicht as its rapid development 3d engine. Developed by www.nighsoft.com
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Frontera is an open art project which uses interactive video combined with hand tracking to make an "interactive portrait". It uses open standards like OpenCV and the OSC protocol.
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