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Indexed by:会议论文

Date of Publication:2010-09-26

Included Journals:EI、CPCI-S、Scopus

Page Number:3917-3920

Key Words:visual tracking; soft segmentation; ICA-R; adaptive scale

Abstract:In this paper, we propose a novel approach for robust visual tracking. To separate the foreground from the background, we propose a novel Boosted Color Soft Segmentation (BCSS) algorithm and incorporate Independent Component Analysis with Reference (ICA-R) into the tracking framework. In addition, we design a scheme to fuse and update BCSS and ICA-R. We also propose adaptive scale of tracking window to handle objects' scale changes. Experiments shows that our approach is more robust than some popular tracking systems.