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Automated visual analysis in large scale sensor networks

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10 Author(s)
Z. Rasheed ; Center for Video Understanding Excellence, ObjectVideo Inc., Reston, VA 20191, USA ; X. Cao ; K. Shafique ; H. Liu
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Modern automated video analysis systems consist of large networks of heterogeneous sensors. These systems must extract, integrate and present relevant information from the sensors in real-time. This paper addresses some of the major challenges such systems face: efficient video processing for high-resolution sensors; data fusion across multiple modalities; robustness to changing environmental conditions and video processing errors; and intuitive user interfaces for visualization and analysis. The paper discusses enabling technologies to overcome these challenges and presents a case study of a wide area video analysis system deployed at a port in the state of Florida, USA. The components of the system are also detailed and justified using quantitative and qualitative results.

Published in:

Distributed Smart Cameras, 2008. ICDSC 2008. Second ACM/IEEE International Conference on

Date of Conference:

7-11 Sept. 2008