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

Wei Quan, Junzo Watada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    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.

    Original languageEnglish
    Title of host publication2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages839-844
    Number of pages6
    ISBN (Print)9781479959556
    DOIs
    Publication statusPublished - 2014 Feb 18
    Event2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014 - Kitakyushu, Japan
    Duration: 2014 Dec 32014 Dec 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
    CountryJapan
    CityKitakyushu
    Period14/12/314/12/6

    ASJC Scopus subject areas

    • Software
    • Artificial Intelligence

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  • Cite this

    Quan, W., & Watada, J. (2014). Clustering and forecasting of Region of Interest by dividing screen into meshes in video frames. In 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014 (pp. 839-844). [7044896] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCIS-ISIS.2014.7044896