Zheng, Yongbin; Shen, Chunhua; Hartley, Richard; Huang, Xinsheng
Detecting pedestrians in images and videos plays a critically important role in many computer vision applications. Extraction of effective features is the key to this task. Promising features should be discriminative, robust to various variations and easy to compute. In this work, we presents a novel feature, termed pyramid center-symmetric local binary/ternary patterns (pyramid CS-LBP/LTP), for pedestrian detection. The standard LBP proposed by Ojala et al.  mainly captures the texture...[Show more]
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.