Description: Human detection and tracking in high density
crowds is an unsolved problem. Standard preprocessing techniques such
as background modeling fail when most of the scene is in motion. We
integrate human detection and tracking into a single framework, and in-
troduce a con rmation-by-classi cation method to estimate con dence
in a tracked trajectory, track humans through occlusions, and eliminate
false positive detections.
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File list (Check if you may need any files):
HeadCountCode\adaboostDetect.cpp
.............\adaboostDetect.h
.............\colorFeatures.cpp
.............\colorFeatures.h
.............\detectAdaboost.h
.............\headTrack.cpp
.............\headTrack.dsp
.............\headTrack.dsw
.............\headTrack.ncb
.............\headTrack.opt
.............\headTrack.plg
.............\particleFilter.cpp
.............\particleFilter.h
.............\Thumbs.db
.............\Tracker.cpp
.............\Tracker.h
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