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ROBUST TRACKING BASED ON BOOSTED COLOR SOFT SEGMENTATION AND ICA-R

Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2010-09-26

Included Journals: Scopus、CPCI-S、EI

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.

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