Video-based vehicle detection has received considerable attention over recent decades. Deep learning based algorithms are effective means for vehicle detection. However, these methods are mainly devised only for static images and applying them for video vehicle detection directly always obtains poor performance. In this work, we propose 3DDETNet: a single-stage video-based vehicle detector integrating 3DCovNet with focal loss, our method has ability to capture temporal information and is more suitable to detect vehicle in video than the other single-stage methods. Our 3D-DETNet takes multiple video frames as input and generate multiple spatial feature maps, then spatial feature maps are fed to sub-model 3DConvNet to capture temporal information which is fed to final fully convolution model for predicting locations of vehicles in video frames. We evaluate our method on UA-DETAC vehicle detection dataset. The experiment results show our method yields better performance and keeps a higher detection speed of 26 fps compared with the other typical methods.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    3D-DETNet: a single stage video-based vehicle detector


    Contributors:
    Li, Suichan (author) / Chen, Feng (author)

    Conference:

    Third International Workshop on Pattern Recognition ; 2018 ; Jinan,China


    Published in:

    Proc. SPIE ; 10828


    Publication date :

    2018-07-26





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    The ARRB video vehicle detector

    Dods, J. S. | TIBKAT | 1987



    Feasibility Study on Applying a Single Loop-Based Vehicle Detector

    Park, Kyung Won ;Lim, Sung Han | Trans Tech Publications | 2013


    EVALUATION OF VIDEO VEHICLE DETECTOR ``SILHOUETTE VISION'' UNDER SNOW CONDITION

    Tani, Y. / ITS Congress Association | British Library Conference Proceedings | 2000


    Traffic Parameters Evaluation of Video Vehicle Detector Under Snow Condition

    Koseki, Y. / Aizawa, T. / Saito, A. et al. | British Library Conference Proceedings | 2003