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Optical Engineering • Open Access

Kernel-based metric for performance evaluation of video infrared target tracking
Author(s): Jianguo Ling; Erqi Liu; Haiyan Liang; Jie Yang

Paper Abstract

A kernel-based metric measuring tracking reliability that is based on discriminative components of a kernel target model and kernel mutual information is presented. The discriminative components of the kernel target model are selected by computing the log-likelihood ratios of class-conditional sample densities of these components from a target region and background sampled region. The components selection process is embedded in a metric with kernel mutual information of the target regions of the initial frame and current frame in video infrared target tracking for online evaluation of the tracking reliability. Experimental results have shown that the metric can effectively characterize target tracking results as good or bad.

Paper Details

Date Published: 1 June 2006
PDF: 3 pages
Opt. Eng. 45(6) 060505 doi: 10.1117/1.2207810
Published in: Optical Engineering Volume 45, Issue 6
Show Author Affiliations
Jianguo Ling, Shanghai Jiao Tong Univ. (China)
Erqi Liu, China Aerospace Science & Industry Corp. (China)
Haiyan Liang, China Aerospace Science & Industry Corp. (China)
Jie Yang, Shanghai Jiao Tong Univ. (China)

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