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Optical Engineering • Open Access

Kernel-based visual tracking with continuous adaptive distribution
Author(s): Risheng Han; Zhongliang Jing; Yuanxiang Li

Paper Abstract

The template updating problem of Kernel-based tracking (KBT) includes two aspects: target-scale update and target-model update. The proposed algorithm can update both tracking window's scale and target model by making use of continuous adaptive distribution. The ability of KBT can be complemented within its own framework with modest computation cost. The proposed tracking algorithm tries to get a balance between the stability of KBT and adaptability of CAMSHIFT for creating a robust tracker.

Paper Details

Date Published: 1 May 2009
PDF: 3 pages
Opt. Eng. 48(5) 050501 doi: 10.1117/1.3125423
Published in: Optical Engineering Volume 48, Issue 5
Show Author Affiliations
Risheng Han, Shanghai Jiao Tong Univ. (China)
Zhongliang Jing, Shanghai Jiao Tong Univ. (China)
Yuanxiang Li, Shanghai Jiao Tong Univ. (China)


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