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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/46456

    Title: Design of networked visual monitoring systems
    Authors: 郭經華;Kuo, Chin-hwa;Wang, Tay-shen;Wu, Ping-huang
    Contributors: 淡江大學資訊工程學系
    Keywords: Surveillance system;Visual object segmentation;Histogram comparison
    Date: 1999-12-01
    Issue Date: 2010-03-29 14:24:01 (UTC+8)
    Publisher: 淡江大學
    Abstract: We design and implement a networked visual monitoring system for surveillance. Instead of the usual periodical monitoring, the proposed system has an auto-tracking feature which captures the important characteristics of intruders. We integrate two schemes, namely, image segmentation and histogram comparison, to accomplish auto-tracking. The developed image segmentation scheme is able to separate moving objects from the background in real time. Next, the corresponding object centroid and boundary are computed. This information is used to guide the motion of tracking camera to track the intruders and then to take a series of shots, by following a predetermined pattern. We have also developed a multiple objects tracking scheme, based on object color histogram comparison, to overcome object occlusion and disocclusion issues. The designed system can track multiple intruders or follow any particular intruder automatically. To achieve efficient transmission and storage, the captured video is compressed in the H.263 format. Query based on time as well as events are provided. Users can access the system from web browsers to view the monitoring site or manipulate the tracking camera on the Internet. These features are of importance and value to surveillance.
    Relation: 淡江理工學刊=Tamkang journal of science and enginnering 2(3), pp.149-161
    DOI: 10.1109/ISCAS.2000.858747
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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