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Video tracking using Adaboost algorithm for auto-updating of the weak classifiers.
The object has to be defined by the user (no auto-recogntion). The tracker works for every type of object (no prior assumptions are taken to object size or form).
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唇形跟踪，对象为唇部。
matlab仿真成功后需用VC实现并设计界面-Lip tracking, object for lip
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Robust Non-negative Dictionary Learning for Visual Tracking
The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or
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matlab Kalman filter for object tracking
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可以实现视频中物体的跟踪，基本可以实现效果，但有待于改进(Object tracking in video can be achieved)
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