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Proceedings Paper

Distributed video data fusion and mining
Author(s): Edward Y. Chang; Yuan-Fang Wang; Volkan Rodoplu
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Paper Abstract

This paper presents an event sensing paradigm for intelligent event-analysis in a wireless, ad hoc, multi-camera, video surveillance system. In particilar, we present statistical methods that we have developed to support three aspects of event sensing: 1) energy-efficient, resource-conserving, and robust sensor data fusion and analysis, 2) intelligent event modeling and recognition, and 3) rapid deployment, dynamic configuration, and continuous operation of the camera networks. We outline our preliminary results, and discuss future directions that research might take.

Paper Details

Date Published: 15 September 2004
PDF: 12 pages
Proc. SPIE 5403, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense III, (15 September 2004); doi: 10.1117/12.540115
Show Author Affiliations
Edward Y. Chang, Univ. of California/Santa Barbara (United States)
Yuan-Fang Wang, Univ. of California/Santa Barbara (United States)
Volkan Rodoplu, Univ. of California/Santa Barbara (United States)


Published in SPIE Proceedings Vol. 5403:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense III
Edward M. Carapezza, Editor(s)

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