Sector Based Multiple Camera Collaboration for Active Tracking Applications
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초록
This paper presents a scalable multiple camera collaboration strategy for active tracking applications in largeareas. The proposed approach is based on distributed mechanism but emulates the master-slave mechanism. The master and slave cameras are not designated but adaptively determined depending on the object dynamicand density distribution. Moreover, the number of cameras emulating the master is not fixed. Thecollaboration among the cameras utilizes global and local sectors in which the visual correspondences amongdifferent cameras are determined. The proposed method combines the local information to construct theglobal information for emulating the master-slave operations. Based on the global information, the loadbalancing of active tracking operations is performed to maximize active tracking coverage of the highlydynamic objects. The dynamics of all objects visible in the local camera views are estimated for effectivecoverage scheduling of the cameras. The active tracking synchronization timing information is chosen tomaximize the overall monitoring time for general surveillance operations while minimizing the activetracking miss. The real-time simulation result demonstrates the effectiveness of the proposed method
Abstract
This paper presents a scalable multiple camera collaboration strategy for active tracking applications in largeareas. The proposed approach is based on distributed mechanism but emulates the master-slave mechanism. The master and slave cameras are not designated but adaptively determined depending on the object dynamicand density distribution. Moreover, the number of cameras emulating the master is not fixed. Thecollaboration among the cameras utilizes global and local sectors in which the visual correspondences amongdifferent cameras are determined. The proposed method combines the local information to construct theglobal information for emulating the master-slave operations. Based on the global information, the loadbalancing of active tracking operations is performed to maximize active tracking coverage of the highlydynamic objects. The dynamics of all objects visible in the local camera views are estimated for effectivecoverage scheduling of the cameras. The active tracking synchronization timing information is chosen tomaximize the overall monitoring time for general surveillance operations while minimizing the activetracking miss. The real-time simulation result demonstrates the effectiveness of the proposed method
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