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Chapter and Conference Paper
Blob Tracking with Adaptive Feature Selection and Accurate Scale Determination
We propose a novel color based tracking framework in which an object configuration and color feature are simultaneously determined via scale space filtration. The tracker can automatically select discriminativ...
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Chapter and Conference Paper
A Novel Gait Recognition Method Via Fusing Shape and Kinematics Features
Existing methods of gait recognition are mostly based on either holistic shape information or kinematics features. Both of them are very important cues in human gait recognition. In this paper we propose a nov...
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Chapter and Conference Paper
QP_TR Trust Region Blob Tracking Through Scale-Space with Automatic Selection of Features
A new approach of tracking objects in image sequences is proposed, in which the constant changes of the size and orientation of the target can be precisely described. For each incoming frame, a likelihood imag...