Search Results for "object tracking"
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Showing 17 open source projects for "object 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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MediaPipe Solutions
Cross-platform, customizable ML solutions
...These pipelines can run on a wide variety of platforms including mobile devices, desktop systems, web browsers, and embedded edge devices. MediaPipe is widely used in computer vision and multimedia applications such as hand tracking, face detection, pose estimation, object recognition, and gesture analysis. The framework includes prebuilt solutions that developers can quickly integrate into applications as well as lower-level APIs that allow custom pipeline construction. -
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Axmol Engine
Multi-platform Engine for Desktop, XBOX (UWP) and Mobile games
Axmol is a modern C++ game engine forked from Cocos2d-x, designed to support high-performance 2D and lightweight 3D game development across multiple platforms. It improves upon the original Cocos2d-x with a cleaner architecture, better tooling, and support for modern C++ standards. Axmol supports scripting with Lua and JavaScript, and is suitable for both indie developers and studios targeting mobile, desktop, and web platforms. With an active community and frequent updates, Axmol is a solid... -
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A multimedia authoring and processing framework and a video playout server for television broadcasting.
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OFX extension for interactive stereo projection mapping (3D Workbench)
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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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Detect and Track
Code release for "Detect to Track and Track to Detect", ICCV 2017
Detect-Track is the official implementation of the ICCV 2017 paper Detect to Track and Track to Detect by Christoph Feichtenhofer, Axel Pinz, and Andrew Zisserman. The framework unifies object detection and tracking into a single pipeline, allowing detection to support tracking and tracking to enhance detection performance. Built upon a modified version of R-FCN, the code provides implementations using backbone networks such as ResNet-50, ResNet-101, ResNeXt-101, and Inception-v4, with results demonstrating state-of-the-art accuracy on the ImageNet VID dataset. ... -
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Scene is a computer vision framework that performs background subtraction and object tracking, using two traditional algorithms and three more recent algorithms based on neural networks and fuzzy classification rules. For each detected object, Scene sends TUIO messages to one or several client applications. The present release features GPU accelerated versions of all the background subtraction methods and morphological post processing of the object blobs with dilation and erosion filters, implemented in OpenCL. ...
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KinectA
Software for motion tracking (skeletons, objects, hands) via Kinect!
KinectA is an application for motion tracking via Kinect Sensor – including hand, skeleton and object tracking. This software has been developed for the needs of media artists and designers. It provides a clearly arranged interface with multiple functionalities. The tracked information can be send via OSC to other hard- and software. KinectA is available for Mac and Windows. -
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LiveVideo
Real-time Video Analysis Software
...If you need technical help, please send an email to wyou(at)kaist.ac.kr. When you use this software for your publications, please cite as follows. 1. Wonsang You, M.S. Houari Sabirin, and Munchurl Kim, "Moving object tracking in H.264/AVC bitstream," Lecture Notes in Computer Science, vol. 4577, 2007, pp. 483-492. 2. Wonsang You, M.S. Houari Sabirin, and Munchurl Kim, "Real-time detection and tracking of multiple objects with partial decoding in H.264/AVC bitstream domain," Proceedings of SPIE, vol. 7244, 72440D (February 2009). -
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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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OpenVS
Open-Source Video-surveillance
Includes a framework and various methods of motion detection, enhancement, object tracking. -
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A Computer vision tracking filter for Avisynth. Allows cropping to follow Object of interest. You can watch a small demo at http://www.youtube.com/watch?v=SQ-JtJs7US0
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The purpose of this project is to help researchers in the field of video tracking by providing and documenting some basic functionality for 2D and 3D object tracking on video sequences.
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Fusion of ARToolkit and Ogre3D, SimpleAugmentedReality is a augmented reality application which can display a 3D model over a live video stream from a webcam. Tracking of the object is handle by ARToolkit pattern.
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The Mimas Toolkit is a C++ real-time computer vision library. Algorithms include edge/corner-detection, object recognition/tracking, LSI-filters, segmentation, array-operators, convolution etc. OO wrappers for LAPACK, libxine, V4L, FFTW are provided.
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Savant
Python Computer Vision & Video Analytics Framework With Batteries Incl
Savant is an open-source, high-level framework for building real-time, streaming, highly efficient multimedia AI applications on the Nvidia stack. It helps to develop dynamic, fault-tolerant inference pipelines that utilize the best Nvidia approaches for data center and edge accelerators. Savant is built on DeepStream and provides a high-level abstraction layer for building inference pipelines. It is designed to be easy to use, flexible, and scalable. It is a great choice for building...
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