It is important to assess street-parked vehicles causing traffic problems in urban areas. However, it is performed manually and at high cost. It is a top priority for reducing cost, to develop a detection system of those vehicles. We propose a detection method using a line-scan camera mounted on probe vehicles. The method is based on two kinds of epipolar-plane image analysis; one is edge-based algorithm and the other is region-based algorithm. Both algorithms are fused to achieve higher reliability. As a result of experiments in roads, a detection rate reached 96%.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Vehicle recognition based on spatio-temporal image analysis


    Contributors:
    Hirahara, K. (author) / Ikeuchi, K. (author)


    Publication date :

    2004-01-01


    Size :

    504654 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English






    A Spatio-Temporal Multilayer Perceptron for Gesture Recognition

    Holzbock, Adrian / Tsaregorodtsev, Alexander / Dawoud, Youssef et al. | IEEE | 2022


    Dynamic Texture Recognition by Spatio-Temporal Multiresolution Histograms

    Lu, Zongqing / Xie, Weixin / Pei, Jihong et al. | IEEE | 2005