Kernel-based visual tracking with continuous adaptive distribution

Risheng Han; Zhongliang Jing; Yuanxiang Li

doi:10.1117/1.3125423

1 May 2009 Kernel-based visual tracking with continuous adaptive distribution

Risheng Han, Zhongliang Jing, Yuanxiang Li

Author Affiliations +

Optical Engineering, Vol. 48, Issue 5, 050501 (May 2009). https://doi.org/10.1117/1.3125423

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.

©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Risheng Han, Zhongliang Jing, and Yuanxiang Li "Kernel-based visual tracking with continuous adaptive distribution," Optical Engineering 48(5), 050501 (1 May 2009). https://doi.org/10.1117/1.3125423

Published: 1 May 2009

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