Moving shadows need careful consideration in the development of robust dynamic scene analysis systems. Moving shadow detection is critical for accurate object detection in video streams since shadow points are often misclassified as object points, causing errors in segmentation and tracking. Many algorithms have been proposed in the literature that deal with shadows. However, a comparative evaluation of the existing approaches is still lacking. In this paper, we present a comprehensive survey of moving shadow detection approaches. We organize contributions reported in the literature in four classes two of them are statistical and two are deterministic. We also present a comparative empirical evaluation of representative algorithms selected from these four classes. Novel quantitative (detection and discrimination rate) and qualitative metrics (scene and object independence, flexibility to shadow situations, and robustness to noise) are proposed to evaluate these classes of algorithms on a benchmark suite of indoor and outdoor video sequences. These video sequences and associated "ground-truth" data are made available at http://cvrr.ucsd.edu/aton/shadow to allow for others in the community to experiment with new algorithms and metrics.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Detecting moving shadows: algorithms and evaluation


    Contributors:
    Prati, A. (author) / Mikic, I. (author) / Trivedi, M.M. (author) / Cucchiara, R. (author)


    Publication date :

    2003


    Size :

    6 Seiten, 32 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Moving out of the shadows

    British Library Online Contents | 1997


    Improving moving cast shadows suppression in traffic image sequences

    Xie, Lei / Zhu, Guangxi / Tang, Miao et al. | SPIE | 2005


    Moving Object Detection Unaffected by Cast Shadows, Highlights and Ghosts

    Duque, D. / Santos, H. / Cortez, P. | British Library Conference Proceedings | 2005


    Shadow Flow: A Recursive Method to Learn Moving Cast Shadows

    Porikli, F. / Thornton, J. / IEEE | British Library Conference Proceedings | 2005


    Moving object detection unaffected by cast shadows, highlights and ghosts

    Duque, D. / Santos, H. / Cortez, P. | IEEE | 2005