Human Re-identification by Matching Compositional Template with Cluster Sampling

1 Feb 2015Yuanlu XuLiang LinWei-Shi ZhengXiaobai Liu

This paper aims at a newly raising task in visual surveillance: re-identifying people at a distance by matching body information, given several reference examples. Most of existing works solve this task by matching a reference template with the target individual, but often suffer from large human appearance variability (e.g. different poses/views, illumination) and high false positives in matching caused by conjunctions, occlusions or surrounding clutters... (read more)

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