RKTracker
Real-time Keypoint Tracker using full/exhaustive-search motion estimation. Works with both live/camera streams and recorded video. Written in Python and C++, requires OpenCV, and optionally CUDA for GPGPU acceleration.
OTHER License
RKTracker
Merging code from KeypointTrackerCpp repo and existing local cudaFSME code (GPGPU accelerated not publically released yet). Demonstration of existing GPGPU code (outlines what this repository will become):
This is the repository for Keypoint Tracker FSME, a program which implements full-search motion estimation (FSME) to track user-selected keypoints in real-time. A video file or camera/webcam stream can be opened and displayed, upon which you can click anywhere on the frame to add a keypoint at that location. In subsequent frames, the keypoints will continually be tracked and update their location (motion estimation) using a fully exhaustive sum-and-difference search to find the best match/position.
RKTracker is written in Python and C++, and requires OpenCV. If you have a CUDA-compatible GPU and the CUDA SDK, GPGPU acceleration can be enabled when compiling, allowing for a significant performance gain.
Licensed under BSD 2-Clause (see the LICENSE file for details).
Copyright (C) 2012-2016 Brandon Castellano. All rights reserved.
