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    Mutliple camera coordination in a surveillance system

    Access Status
    Fulltext not available
    Authors
    Nguyen, Nam
    Bui, Hung H.
    Venkatesh, Svetha
    West, Geoffrey
    Date
    2003
    Type
    Journal Article
    
    Metadata
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    Citation
    Nguyen, Nam and Bui, Hung H. and Venkatesh, Svetha and West, Geoffrey. 2003. Mutliple camera coordination in a surveillance system. Acta Automatica Sinica - Special Issue on Visual Surveillance of Dynamic Scenes. 29 (3): pp. 408-422.
    Source Title
    Acta Automatica Sinica - Special Issue on Visual Surveillance of Dynamic Scenes
    Additional URLs
    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.116.1158
    ISSN
    02544156
    Faculty
    Department of Spatial Sciences
    Faculty of Science and Engineering
    WA School of Mines
    School
    Department of Computing
    URI
    http://hdl.handle.net/20.500.11937/11948
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we present a distributed surveillance system that uses multiple cheap static cameras to track multiple people in indoor environments. The system has a set of Camera Processing Modules and a Central Module to coordinate the tracking tasks among the cameras. Since each object in the scene can be tracked by a number of cameras, the problem is how to choose the most appropriate camera for each object. This is important given the need to deal with limited resources (CPU, power etc.). We propose a novel algorithm to allocate objects to cameras using the object-to-camera distance while taking into account occlusion. The algorithm attempts to assign objects in the overlapping field of views to the nearest camera which can see the object without occlusion. Experimental results show that the system can coordinate cameras to track people properly and can deal well with occlusion.

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