Human controllers of Air-Traffic-Control (ATC) system is vital in ensuring flight safety and efficiency. In this paper, we strive to take advantage of visual tracking multi-targets within ATC surveillance videos to assist the human air traffic controllers making decisions more quickly and precisely. In this special case, it should be established as online real-time multi-object tracking (MOT) of a large number of homogeneous small-sized targets under heavy occlusions. To solve this challenging problem we propose a bi-level association strategy that combining the advantages of batch-based association and sequential-based association. As none of distinctive appearance hint could be used during batch-based association, we formulate linking detection responses as self-organized growth of hyperedges in hypergraph. Extensive experiments have proven that our method outperforms the state-of-art within our specialized ATC surveillance videos.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Visual multi-object tracking via bi-level association strategy within Air-Traffic-Control surveillance videos


    Contributors:
    Yan Li, (author) / Xianbin Cao, (author) / Siyuan Chen, (author) / Junying Liu, (author)


    Publication date :

    2016-04-01


    Size :

    1061930 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Structural similarity-based object tracking in multimodality surveillance videos

    Mihaylova, L. / Bull, D. / Canagarajah, N. | British Library Online Contents | 2009


    Occlusion management in distributed multi-object tracking for visual-surveillance

    Bousetouane, F. / Vandewiele, F. / Motamed, C. | British Library Online Contents | 2015


    A Multi-Hypothesis Approach for Salient Object Tracking in Visual Surveillance

    Bunyak, F. / Ersoy, I. / Subramanya, S. R. | British Library Conference Proceedings | 2005


    A multi-hypothesis approach for salient object tracking in visual surveillance

    Bunyak, F. / Ersoy, I. / Subramanya, S.R. | IEEE | 2005


    Pedestrian tracking by fusion of thermal-visible surveillance videos

    Leykin, A. / Hammoud, R. | British Library Online Contents | 2010