@inproceedings{ab860ed43da349b58af83f5dad175688,
title = "Person re-identification by unsupervised color spatial pyramid matching",
abstract = "In this paper, we propose a novel unsupervised color spatial pyramid matching (UCSPM) approach for person re-identification. It is well motivated by our study on spatial pyramid to build effective structural object representation for person re-identification. Through the combination of illumination invariance color feature, UCSPM can well cope with the variations of viewpoint, illumination and pose. First, local superpixel regions are divided to accurately represent the color feature. Second, human body are divided into increasing fine vertical sub-regions to construct the spatial pyramid matching scheme. Third, the color feature and its spatial distribution information are used in a pyramid match kernel for calculating the similarity between person and person. The effectiveness of our approach is validated on the VIPeR dataset and CUHK campus dataset. Comparing with other approaches, our UCSPM improves the best unsupervised rank-1 matching rate on the VIPeR dataset by 3.08\% with only one kind of feature—color.",
keywords = "Color spatial pyramid, Cross-camera, Person re-identification, Structural object representation, Unsupervised",
author = "Yan Huang and Hao Sheng and Yang Liu and Yanwei Zheng and Zhang Xiong",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 8th International Conference on Knowledge Science, Engineering and Management, KSEM 2015 ; Conference date: 28-10-2015 Through 30-10-2015",
year = "2015",
doi = "10.1007/978-3-319-25159-2\_74",
language = "英语",
isbn = "9783319251585",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "799--810",
editor = "Zili Zhang and Songmao Zhang and Zili Zhang and Martin Wirsing and Martin Wirsing and Martin Wirsing and Zili Zhang and Songmao Zhang and Songmao Zhang",
booktitle = "Knowledge Science, Engineering and Management - 8th International Conference, KSEM 2015, Proceedings",
address = "德国",
}