Kernel-based metric for performance evaluation of video infrared target tracking

Jianguo Ling; Erqi Liu; Haiyan Liang; Jie Yang

doi:10.1117/1.2207810

1 June 2006 Kernel-based metric for performance evaluation of video infrared target tracking

Jianguo Ling, Erqi Liu, Haiyan Liang, Jie Yang

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Optical Engineering, Vol. 45, Issue 6, 060505 (June 2006). https://doi.org/10.1117/1.2207810

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.

©(2006) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Jianguo Ling, Erqi Liu, Haiyan Liang, and Jie Yang "Kernel-based metric for performance evaluation of video infrared target tracking," Optical Engineering 45(6), 060505 (1 June 2006). https://doi.org/10.1117/1.2207810

Published: 1 June 2006

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