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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Estimation of vehicle speed by motion tracking on image sequences


    Beteiligte:
    Madasu, V K (Autor:in) / Hanmandlu, M (Autor:in)


    Erscheinungsdatum :

    01.06.2010


    Format / Umfang :

    772759 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    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