Clustering and forecasting of Region of Interest by dividing screen into meshes in video frames

Wei Quan, Junzo Watada

    研究成果: Conference contribution

    抄録

    Image processing and security surveillance system has more and more widely used in recent society such as bank surveillance and pedestrian tracking. And there is a common scene that each frame in the video is constructed by a set of pixels. However, the size of pixels are fixed. And the detection of Region of Interest (Rol) is always been regarded as the most significant in tracking system. Based on this, we proposed a concept that divide the whole frame into a set of granule units and detecting Rol within certain units instead of the whole frame during the processing. The size of which can be modified to fit the different situations. The authors applied one of the algorithm which called 'Density-Based Spatial Clustering of Application with Noise' (DBSCAN), and combined it with foreground detecting algorithm 'Kernel Density Estimation'(KDE) and tracking algorithm 'Kalmen Filter' to testify this concept, and got the ideal result in the experiment.

    本文言語English
    ホスト出版物のタイトル2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ839-844
    ページ数6
    ISBN(印刷版)9781479959556
    DOI
    出版ステータスPublished - 2014 2 18
    イベント2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014 - Kitakyushu, Japan
    継続期間: 2014 12 32014 12 6

    Other

    Other2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
    国/地域Japan
    CityKitakyushu
    Period14/12/314/12/6

    ASJC Scopus subject areas

    • ソフトウェア
    • 人工知能

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