Object association and tracking have attracted great attention in the computer vision. In this paper, we present an object association and tracking method for monitoring multiple vehicles on the road based on objects' visual features and the similarity comparison between them. First, we identify vehicles using the difference operation between the current frame in CCTV image sequences and the referential images that are stored in a database, and then extract various features from the vehicles identified. Finally, we associate the objects in the current frame with those in the next frames using similarity comparison, and track multiple objects over a sequence of CCTV image frames. Empirical study using CCTV images shows that our method has achieved the considerable effectiveness in tracking vehicles on the road.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Vehicle Association and Tracking in Image Sequences Using Feature-Based Similarity Comparison



    Erschienen in:

    Erscheinungsdatum :

    04.04.2014


    Format / Umfang :

    4 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Real-time vehicle tracking in image sequences

    Leuven, J. van / Leeuwen, M.B. van / Groen, F.C.A. | Tema Archiv | 2001


    Vehicle recognition and tracking from road image sequences

    Foresti, G.L. / Murino, V. / Regazzoni, C. | Tema Archiv | 1999


    Correlogram-Based Perceptual Similarity in Vehicle Probabilistic Tracking

    Mao, Yan Fen ;Chen, Ming | Trans Tech Publications | 2011


    Feature-based probabilistic data association and tracking

    Grinberg,M. / Ohr,F. / Beyerer,J. et al. | Kraftfahrwesen | 2010


    Feature-based probabilistic data association and tracking

    Grinberg, Michael / Ohr, Florian / Willersinn, Dieter et al. | Tema Archiv | 2010