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ID 113906
Author
Zhang, Guodong Tokushima University
Keywords
Pedestrian Re-identification
UWV Color space
Color Histogram
SPM
Content Type
Journal Article
Description
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.
Journal Title
International Journal of Advances in Electronics and Computer Science
ISSN
23942835
23932835
Publisher
Institute of Research and Journals
Volume
3
Issue
3
Start Page
11
End Page
14
Published Date
2016-03-26
Rights
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License(https://creativecommons.org/licenses/by-nc/4.0/)
EDB ID
URL ( Publisher's Version )
FullText File
language
eng
TextVersion
Publisher
departments
Science and Technology