For intelligent vehicle and driving assistant system, pedestrian detection technology is an important research field to avoid dangerous traffic accidents. This article puts forward a pedestrian detection algorithm based on edge symmetry. First, lane recognition method is used to get area of interest (AOI) ahead of vehicle. Second, as pedestrian legs have prominent vertical edge symmetry, their symmetrical axis can be acquired through vertical edge extraction in the AOI. Combined with pedestrian transcendental features, the candidate pedestrian could be locked. Third, the candidate pedestrian will be validated based on the gray symmetry and local entropy. The experiment results show that the algorithm is effective, reliable and robust.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Algorithm Study for Pedestrian Detection Based on Monocular Vision


    Contributors:
    Lie, Guo (author) / Rong-ben, Wang (author) / Li-sheng, Jin (author) / Lin-hui, Li (author) / Lu, Yang (author)


    Publication date :

    2006-12-01


    Size :

    4880046 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Pedestrian detection with monocular vision system

    Schick, Jens | Tema Archive | 2006


    Pedestrian detection with monocular vision system

    Schick,J. / Bosch,Leonberg,DE | Automotive engineering | 2006


    A monocular vision based pedestrian detection system for intelligent vehicles

    Liping Yu, / Wentao Yao, / Huaping Liu, et al. | IEEE | 2008


    A Monocular Vision Based Pedestrian Detection System for Intelligent Vehicles

    Yu, L. / Yao, W. / Liu, H. | British Library Conference Proceedings | 2008


    A monocular-vision rear vehicle detection algorithm

    Wei Liu, / Chunyan Song, / XueZhi Wen, et al. | IEEE | 2007