Saliency Detection Based Region Extraction for Pedestrian Detection System with Thermal Imageries

Ming XU  Xiaosheng YU  Chengdong WU  Dongyue CHEN  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E101-A   No.1   pp.306-310
Publication Date: 2018/01/01
Online ISSN: 1745-1337
Type of Manuscript: LETTER
Category: Image
Keyword: 
pedestrian detection,  thermal infrared imageries,  saliency detection,  deep convolutional network,  

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Summary: 
A robust pedestrian detection approach in thermal infrared imageries for an all-day surveillance is proposed. Firstly, the candidate regions which are likely to contain pedestrians are extracted based on a saliency detection method. Then a deep convolutional network with a multi-task loss is constructed to recognize the pedestrians. The experimental results show the superiority of the proposed approach in pedestrian detection.