As to the vehicle visual detection and tracking problem in IDASWs (Intelligent Driver-Assistance and Safety Warning System), this paper proposed a way of a good effect. Firstly use vehicle’s bottom shadow feature and identified lane result to determine the searching region. Then use template matching algorithm based on vehicle’s tail shape to realize detecting and tracking. Experimental results show that the algorithm can effectively detect and track the preceding vehicle from the video sequence, reaching robust and real-time requirements


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    Title :

    Preceding Vehicle Visual Detection and Tracking Based on Template and Shadow Feature



    Published in:

    Advanced Materials Research ; 490-495 ; 481-485


    Publication date :

    2012-03-15


    Size :

    5 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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