This paper presents a unique pattern of vehicle detection with the help of fundamental and successive algorithms. The characteristics of the vehicle are the important parameters to identify vehicles. A good number of corner points is compacted inside a vehicle region which is considered as the initial requirement for an algorithm. The densely packed corner points are grouped. This grouping gives a hint of points which are associated with each vehicle and they play a key in detection of vehicles. Once the grouping is performed, the non-vehicle region is segmented. The corner points are tracked with a Lucas-Kanade algorithm in order to maintain the stability of corner points. The detection rate with the proposed method is 93.95%.


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    Titel :

    Vehicle Detection and Tracking Based on Interest Points of Visual Appearance


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Bhaumik, Subhasis (Herausgeber:in) / Chattopadhyay, Subrata (Herausgeber:in) / Chattopadhyay, Tanushyam (Herausgeber:in) / Bhattacharya, Srijan (Herausgeber:in) / Anandhalli, Mallikarjun (Autor:in) / Tanuja, A. (Autor:in) / Baligar, Vishwanath P. (Autor:in) / Baligar, Pavana (Autor:in) / Saraf, Santhosh S. (Autor:in)


    Erscheinungsdatum :

    15.02.2022


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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