This paper presents a method for estimating vehicle speed by tracking the motion of a vehicle through a sequence of images. The motion is derived using an equation based on spherical projection which relates the image motion to the object motion. Motion tracking is done via the Kanade-Lucas-Tomasi algorithm. The motion equation is reformulated into a dynamical space state model, for which Kalman and Extended Kalman filter are applied to estimate the object velocity as well as to predict the future location of the features. The proposed algorithm is employed on a real-life traffic video captured using an un-calibrated camera to estimate the speed of individual vehicles in the video frames. The main advantages are that it is a simple yet robust method having lower time complexity and less ambiguity in vehicle speed estimations.


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    Title :

    Estimation of vehicle speed by motion tracking on image sequences


    Contributors:
    Madasu, V K (author) / Hanmandlu, M (author)


    Publication date :

    2010-06-01


    Size :

    772759 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Estimation of Vehicle Speed by Motion Tracking on Image Sequences, pp. 185-190

    Madasu, V.K. / Hanmandlu, M. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2010