Fast Pedestrian Detection Based on the Selective Window Differential Filter

• Published in: Neural processing letters Vol. 48; no. 1; pp. 403 - 417
• Main Authors: Zuo, Xin, Shen, Jifeng, Yu, Hualong, Xu, Dan, Qian, Chengshan, Shan, Yongwei
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2018; Springer Nature B.V
• Subjects: Accuracy; Artificial Intelligence; Complex Systems; Computational Intelligence; Computer Science; Deep learning; Feature selection; Filtration; Pixels; Random variables; Reduction; Feature selection; Windows differential feature; Pedestrian detection

Following the recent progress of the pixel-level filtering for pedestrian detection, we propose a window differential feature (WDF) based on the multiple channel maps. More specifically, WDF encodes first-order statistics between artitary two pixels in the whole detection window, thus obtaining larg...