Skip to content
BranchesTags

Latest commit

 

History

6 Commits

Folders and files

NameName
Last commit message
Last commit date
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
 
 

Repository files navigation

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.

About

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

Resources

Readme
GPL-3.0 license
Activity

Stars

60 stars

Watchers

12 watching

Forks

47 forks
Report repository

Releases

Packages

Contributors

Languages