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Pyramid Center-Symmetric Local Binary/Trinary Patterns for Effective Pedestrian Detection

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. [1] mainly captures the texture...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Conference paper
Source: Proceedings of ACCV 2010
DOI: 10.1007/978-3-642-19282-1_23


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