Moving objects detection and recognition around an intelligent vehicle are active research fields. A great number of approaches have been proposed in recent decades. This paper proposes a novel approach based solely on spatial information to solve this problem. Moving objects detection is achieved in conjunction with an egomotion estimation by sparse matched feature points. For objects recognition, we firstly present a method to boost simple spatial information by Kernel Principal Component Analysis (KPCA). Then, two kinds of classifiers (Random Forest and Gradient Boosting Trees) are trained offline to recognize several common categories of moving objects in urban scenarios (vehicle, pedestrian, cyclist, …). Experiments are implemented and the results confirm the effectiveness of the proposed algorithm. Furthermore, a comparison to a previous similar method is performed to verify the enhancement of classification by the advanced spatial features.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Moving objects detection and recognition using sparse spatial information in urban environments


    Contributors:
    Li, You (author) / Ruichek, Yassine (author)


    Publication date :

    2012-06-01


    Size :

    2136801 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Moving Objects Detection and Recognition Using Sparse Spatial Information in Urban Environments

    Li, Y. / Ruichek, Y. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2012



    Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments

    Lenz, P. / Ziegler, J. / Geiger, A. et al. | British Library Conference Proceedings | 2011


    Sparse scene flow segmentation for moving object detection in urban environments

    Lenz, P. / Ziegler, J. / Geiger, A. et al. | IEEE | 2011


    Detection and Recognition of Moving Objects Using Statistical Motion Detection and Fourier Descriptors

    Toth, D. / Aach, T. / IEEE | British Library Conference Proceedings | 2003