Issue No. 05 - September/October (2005 vol. 20)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2005.86
Mohan M. Trivedi , University of California, San Diego
Tarak L. Gandhi , University of California, San Diego
Kohsia S. Huang , University of California, San Diego
Computer vision promises to play a significant role in a wide range of homeland security applications. The objective is to apply computer vision techniques and algorithms under various environmental conditions for security, surveillance, and protection of physical infrastructures under human and vehicular threats. The authors provide an overview of a multicamera video surveillance approach, called Distributed Interactive Video Array. DIVA provides a large-scale, redundant cluster of video streams to observe a remote scene and to supply automatic focus-of-attention with event-driven servoing (motorized control of camera pan-tilt-zoom) to capture desired events at appropriate resolutions and perspectives. The authors also describe the design and deployment of DIVA-based systems for vehicle tracking and reidentification, perimeter monitoring, and bridge structure monitoring, as well as for people tracking, face detection-recognition, and activity analysis. Deployment of DIVA modules at Super Bowl XXXVII demonstrates the practical utility and promise of multicamera arrays for homeland security.<p>This article is part of a special issue on Homeland Security.</p>
computer vision, tracking, multicamera systems, surveillance, visualization
M. M. Trivedi, K. S. Huang and T. L. Gandhi, "Distributed Interactive Video Arrays for Event Capture and Enhanced Situational Awareness," in IEEE Intelligent Systems, vol. 20, no. , pp. 58-66, 2005.