This report details our system for vehicle detection and tracking in multi-spectral UAV video data. The work builds upon the tracking framework previously developed, using the spatiogram bank tracker as a core component of the overall system. Camera motion is compensated by automatically performing image alignment and computing the homographic warping that describes the movement of the ground-plane in relation to the camera. By aligning subsequent frames, moving vehicles can be detected using image differencing, adaptive thresholding and selection of appropriately sized regions. Banks of spatiogram trackers are then used to perform object tracking and to fuse data from both the visible spectrum and thermal infrared video. Results are shown indicating the success of this approach on UAV data from the DTO VACE dataset collection. Finally, we note the challenges posed by this difficult application and propose future directions for this work in tackling these issues.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Vehicle Tracking in UAV Video Using Multi-Spectral Spatiogram Models


    Contributors:
    N. E. O'Connor (author) / A. F. Smeaton (author) / C. O'Conaire (author) / P. Kehoe (author)

    Publication date :

    2007


    Size :

    10 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    Multi-Vehicle Tracking Using Microscopic Traffic Models

    Song, Dan / Tharmarasa, Ratnasingham / Zhou, Gongjian et al. | IEEE | 2019


    Automatic multi-vehicle tracking using video cameras: An improved CAMShift approach

    Xia, Jingxin / Rao, Wenming / Huang, Wei et al. | Online Contents | 2013


    Commercial Vehicle Route Tracking using Video Detection

    S. Cheng / R. C. Huck / P. Verma et al. | NTIS | 2010


    Automatic multi-vehicle tracking using video cameras: An improved CAMShift approach

    Xia, Jingxin / Rao, Wenming / Huang, Wei et al. | Springer Verlag | 2013


    Multi-spectral and multi-perspective video arrays for driver body tracking and activity analysis

    Cheng, S. Y. / Park, S. / Trivedi, M. M. | British Library Online Contents | 2007