A mesh-divide-based region of interest clustering and forecasting in video frames based on the background/foreground construction

Wei Quan, Zhenyuan Xu, 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. The detection of Region of Interest (RoI) is always been regarded as the most significant in tracking system. One of the algorithm which can be used in RoI detecting is 'Density-Based Spatial Clustering of Application with Noise' (DBSCAN). But because of its structure, the runtime consuming costs too much when handling large spatial dataset. Considering the features of image processing, a mesh-divide and Kalman Filter forecasting method is proposed combing DBSCAN for RoI detection and forecasting of image processing. The DBSCAN can be used in the RoI detection and position forecast at the next frame in surveillance system to decrease the runtime cost and improve the accuracy at the same time.

    本文言語English
    ホスト出版物のタイトルWorld Automation Congress Proceedings
    出版社IEEE Computer Society
    ページ191-196
    ページ数6
    ISBN(印刷版)9781889335490
    DOI
    出版ステータスPublished - 2014 10 24
    イベント2014 World Automation Congress, WAC 2014 - Waikoloa
    継続期間: 2014 8 32014 8 7

    Other

    Other2014 World Automation Congress, WAC 2014
    CityWaikoloa
    Period14/8/314/8/7

    ASJC Scopus subject areas

    • Control and Systems Engineering

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