Comparative study of the descriptive features on the performance of re-identification

Kaoutar Jdeb, M. Rziza, T. Ljouad, A. Al-Hamadi
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Abstract

Person re-identification in camera network, with non-overlapping fields of view based on descriptive features is an important task in surveillance systems. In general, the person re-identification aims to recognize an individual through different pictures by measuring the similarity between two individuals.
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描述性特征对再识别性能的比较研究
基于描述特征的视场不重叠摄像机网络中人的再识别是监控系统中的重要任务。一般来说,人再认同的目的是通过测量两个人之间的相似性,通过不同的图片来识别一个人。
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