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Henrik Abelsson
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README.txt

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