Distributed video data fusion and mining

Edward Y. Chang; Yuan-Fang Wang; Volkan Rodoplu

doi:10.1117/12.540115

15 September 2004 Distributed video data fusion and mining

Edward Y. Chang, Yuan-Fang Wang, Volkan Rodoplu

Proceedings Volume 5403, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense III; (2004) https://doi.org/10.1117/12.540115
Event: Defense and Security, 2004, Orlando, Florida, United States

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.

Citation Download Citation

Edward Y. Chang, Yuan-Fang Wang, and Volkan Rodoplu "Distributed video data fusion and mining", Proc. SPIE 5403, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense III, (15 September 2004); https://doi.org/10.1117/12.540115

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