Oriented regions grouping based candidate proposal for infrared pedestrian detection

Jiangtao Wang; Jingai Zhang; Huaijiang Li

doi:10.1117/12.2303411

10 April 2018 Oriented regions grouping based candidate proposal for infrared pedestrian detection

Jiangtao Wang, Jingai Zhang, Huaijiang Li

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 1061503 (2018) https://doi.org/10.1117/12.2303411
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

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.

Citation Download Citation

Jiangtao Wang, Jingai Zhang, and Huaijiang Li "Oriented regions grouping based candidate proposal for infrared pedestrian detection", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 1061503 (10 April 2018); https://doi.org/10.1117/12.2303411

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