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Robust Object Tracking via Inertial Potential based Mean Shift
Object tracking mean shift motion modeling probabilistic approximation
2013/7/24
We present a novel mean shift approach in this paper forrobust object tracking based on an inertial potential model.Conventional mean shift based trackers exploit only appear-ance information of obser...
Treat samples differently: Object tracking with semi-supervised online CovBoost
Object tracking semi-supervised CovBoost
2013/7/24
Most feature selection methods for object tracking assume that the labeled samples obtained in the next framesfollow the similar distribution with the samples in the previous frame. However, this assu...
OBJECT TRACKING USING INCREMENTAL 2D-LDA LEARNING AND BAYES INFERENCE
object tracking incremental 2D-LDA Bayes inference
2013/7/17
The appearances of the tracked object and its surrounding background usually change during tracking. As for tracking methods using subspace analysis, fixed subspace basis tends to cause tracking failu...