Pedestrian detection in the embedded system, such as video surveillance equipment, usually involves low-resolution pedestrian samples and requires a low computational cost. Many pedestrian detectors rely on a large feature pool and suffer in their efficiency and performance for real-time monitoring. In this paper, a set of light-weight features is proposed to enhance the pedestrian detection performance when a small-medium scale of training data with low-resolution images is available. To address this issue, a difference matrix projection (DMP) is developed to compute aggregated multi-oriented pixel differences using global matrix operations. Both the pixel differences and aggregation are computed using global matrix projection to avoid the laborious iterative operations. We tested our method on the INRIA, Daimler Chrysler classification (Daimler-CB), NICTA, and Caltech Pedestrian datasets. The experiments on these benchmark data sets show encouraging results in terms of detection performance, particularly for image datasets with low-resolution pedestrians.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Pedestrian Detection Using Pixel Difference Matrix Projection


    Contributors:
    Liu, Xing (author) / Toh, Kar-Ann (author) / Allebach, Jan P. (author)


    Publication date :

    2020-04-01


    Size :

    3410665 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Pedestrian forward projection impact

    Wood,D.P. / Walsh,D.G. / Denis Wood,IE et al. | Automotive engineering | 2002


    Airbag device for pedestrian projection

    OZEKI MAKOTO / SASAKI TAKASHI | European Patent Office | 2020

    Free access

    Vehicle-pedestrian collisions: Validated models for pedestrian impact and projection

    Wood, D P / Simms, C K / Walsh, D G | SAGE Publications | 2005



    Vehicle-pedestrian collisions: validated models for pedestrian impact and projection

    Wood,D.P. / Simms,C.K. / Walsh,D.G. et al. | Automotive engineering | 2005