作者
Le An, Mehran Kafai, Songfan Yang, Bir Bhanu
发表日期
2015/3/25
期刊
IEEE Transactions on Circuits and Systems for Video Technology
卷号
26
期号
4
页码范围
776-787
出版商
IEEE
简介
Person identification across nonoverlapping cameras, also known as person reidentification, aims to match people at different times and locations. Reidentifying people is of great importance in crucial applications such as wide-area surveillance and visual tracking. Due to the appearance variations in pose, illumination, and occlusion in different camera views, person reidentification is inherently difficult. To address these challenges, a reference-based method is proposed for person reidentification across different cameras. Instead of directly matching people by their appearance, the matching is conducted in a reference space where the descriptor for a person is translated from the original color or texture descriptors to similarity measures between this person and the exemplars in the reference set. A subspace is first learned in which the correlations of the reference data from different cameras are maximized using …
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L An, M Kafai, S Yang, B Bhanu - IEEE Transactions on Circuits and Systems for Video …, 2015