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ID 113906
著者
Zhang, Guodong Tokushima University
キーワード
Pedestrian Re-identification
UWV Color space
Color Histogram
SPM
資料タイプ
学術雑誌論文
抄録
In this paper we present a system to solve the problem of moving pedestrian re-identification in surveillance video. Surveillance video has low-resolution, high video noise and limited monitoring scope. Our proposed framework must deal with several problems such as variations of illumination conditions, poses and occlusions. How to extract the robust feature that can adapt the problems have been the task. The people of global color approaches do not change in the process of monitoring. Our paper use the color histogram as feature descriptors and choose RGB HSV and UVW for color space. Traditional histogram method extract the global color approach as the feature. The object color structure information will be neglected. We use the SPM model supplement the structure information for the histogram. The results of a test from a real surveillance system show that our method can provide a probability of matching.
掲載誌名
International Journal of Advances in Electronics and Computer Science
ISSN
23942835
23932835
出版者
Institute of Research and Journals
3
3
開始ページ
11
終了ページ
14
発行日
2016-03-26
権利情報
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License(https://creativecommons.org/licenses/by-nc/4.0/)
EDB ID
出版社版URL
フルテキストファイル
言語
eng
著者版フラグ
出版社版
部局
理工学系