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Algorithm for tracking of unknown objects in unconstrained video streams, by Zdenek Kalal
License: GNU General Public License v2.0
This project forked from tgittos/tld
Algorithm for tracking of unknown objects in unconstrained video streams, by Zdenek Kalal
License: GNU General Public License v2.0
TLD v1.0 ======== TLD is an algorithm for tracking of unknown objects in unconstrained video streams. The object of interest is defined by a bounding box in a single frame. TLD simulta- neously tracks the object, learns its appearance and detects it whenever it appears in the video. The result is a real-time tracking that typically improves over time. Licence ======= You are allowed to use TLD under the terms of the GPL v2.0. It means that any distributed project that includes or links any portion of TLD source code should be released with the source code under the GPL v2.0 licence or above. The details of the license can be found in LICENCE.txt. If these terms do not meet your requirements, contact [email protected] Please cite our CVPR'10 paper if you use the code for academic purposes. @article{Kalal2010, author = {Kalal, Z and Matas, J and Mikolajczyk, K}, journal = {Conference on Computer Vision and Pattern Recognition}, title = {{P-N Learning: Bootstrapping Binary Classifiers by Structural Constraints}}, year = {2010} } INSTALATION =========== 1. Compile mex files: edit and execute "compile.m" Requires: OpenCV Tested using MS Visual Studio 2010 compiler and OpenCV2.2 2. Execute "run_TLD.m" with default parameters. The TLD should track a motorbike from "_input" and store the results to "_output".
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