Kernel-based metric for performance evaluation of video infrared target tracking
نویسندگان
چکیده
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 classconditional 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 PhotoOptical Instrumentation Engineers. DOI: 10.1117/1.2207810 Subject terms: infrared target tracking; kernel target models; components selection; kernel mutual information; tracking reliability metrics. Paper 050969LR received Dec. 12, 2005; revised manuscript received Mar. 4, 2006; accepted for publication Mar. 31, 2006; published online Jun. 2, 2006.
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