Search Results for "opencv tracking"
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Showing 16 open source projects for "opencv tracking"
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Managing your therapy and rehab practice is a time-consuming process. You spend hours on paperwork, billing, scheduling, and more. Raintree’s Therapy & Rehab EHR is here to help you manage your practice more efficiently. With our all-in-one solution, you’ll get the tools you need to streamline your therapy and rehab practice, improve patient care, and get back to doing what you love.
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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
.../ava/portfolio/aruco/ It also depends on OpenCv and eigen3 (the later is included in the 3rdparty directory). -
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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
This work extends 3DDFA, named 3DDFA_V2, titled Towards Fast, Accurate and Stable 3D Dense Face Alignment, accepted by ECCV 2020. The supplementary material is here. The gif above shows a webcam demo of the tracking result, in the scenario of my lab. This repo is the official implementation of 3DDFA_V2. Compared to 3DDFA, 3DDFA_V2 achieves better performance and stability. Besides, 3DDFA_V2 incorporates the fast face detector FaceBoxes instead of Dlib. A simple 3D render written by c... -
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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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TrackingExample
This project presents simple marker detection and 3D augmentation
... 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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FaceTrackingMicroPC
Face Tracking using OpenCV on Orange Pi
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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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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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