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Oriented regions grouping based candidate proposal for infrared pedestrian detection
Author(s): Jiangtao Wang; Jingai Zhang; Huaijiang Li
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Paper Abstract

Effectively and accurately locating the positions of pedestrian candidates in image is a key task for the infrared pedestrian detection system. In this work, a novel similarity measuring metric is designed. Based on the selective search scheme, the developed similarity measuring metric is utilized to yield the possible locations for pedestrian candidate. Besides this, corresponding diversification strategies are also provided according to the characteristics of the infrared thermal imaging system. Experimental results indicate that the presented scheme can achieve more efficient outputs than the traditional selective search methodology for the infrared pedestrian detection task.

Paper Details

Date Published: 10 April 2018
PDF: 7 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 1061503 (10 April 2018); doi: 10.1117/12.2303411
Show Author Affiliations
Jiangtao Wang, Huaibei Normal Univ. (China)
Jingai Zhang, Huaibei Normal Univ. (China)
Huaijiang Li, Huaibei Normal Univ. (China)

Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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