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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...
CONTOUR TRACKING VIA ON-LINE DISCRIMINATIVE APPEARANCE MODELING BASED LEVEL SETS
Contour tracking level set appearance modeling curve evolution
2013/7/24
A novel level set method based on on-line discriminativeappearance modeling (DAMLSM) is presented for contourtracking. In contrast with traditional level set models whichemphasize the intensity consis...
Tracking non-rigid objects with significant shape variation incomplex scenario is a difficult problem. Human tracking isa special case of this problem since human body has goodlocal rigid ...
Robust Automatic Tracking of Skin-Colored Objects with Level Set based Occlusion Handling
Objects tracking occlusion handling human-computer interaction gesture recognition sign language recognition
2013/7/16
The automatic detection and tracking of multiple skin-colored objects in videos plays important roles in gestural human-computer interaction, such as in gesture and sign language recognition. In this ...
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...