GitHub - mrasyidaqmar/BPTLD: Matlab/C++ implementation of the Tracking-Learning-Detection (TLD) algorithm by Ben Pryke

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Matlab/C++ implementation of the Tracking-Learning-Detection (TLD) algorithm by Ben Pryke

GPL-3.0 license

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
Classifier.cpp		Classifier.cpp
Classifier.h		Classifier.h
Detector.cpp		Detector.cpp
Detector.h		Detector.h
Documentation.pdf		Documentation.pdf
Feature.cpp		Feature.cpp
Feature.h		Feature.h
Fern.cpp		Fern.cpp
Fern.h		Fern.h
Forward-Backward Error; Automatic Detection of Tracking Failures.pdf		Forward-Backward Error; Automatic Detection of Tracking Failures.pdf
HaarTest.cpp		HaarTest.cpp
HaarTest.h		HaarTest.h
IntegralImage.cpp		IntegralImage.cpp
IntegralImage.h		IntegralImage.h
LICENSE.txt		LICENSE.txt
Online learning of robust object detectors during unstable tracking.pdf		Online learning of robust object detectors during unstable tracking.pdf
P-N Learning; Bootstrapping Binary Classifiers by Structural Constraints.pdf		P-N Learning; Bootstrapping Binary Classifiers by Structural Constraints.pdf
README		README
TLD.cpp		TLD.cpp
Tracker.cpp		Tracker.cpp
Tracker.h		Tracker.h
TwoBitBPTest.cpp		TwoBitBPTest.cpp
TwoBitBPTest.h		TwoBitBPTest.h
compile.m		compile.m
init.m		init.m
tld.m		tld.m
updateDisplay.m		updateDisplay.m

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This is Ben Pryke's open source Matlab/C++ implementation of the
Tracking-Learning-Detection (TLD) algorithm available under the terms of the
GNU General Public License as published by the Free Software Foundation. The
full license is included in the file LICENSE.txt.

See Documentation.pdf for details on compiling, running, and using BPTLD.