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Proceedings Paper

A framework for detecting hazardous events
Author(s): Yi Wu; Edward Y. Chang; Gang Wu
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Paper Abstract

Using video analysis for detecting hazardous events such as fire/smoke activity, impending threats, or suspicious behaviors has spurred new research for security concerns. To make such detection reliable, researchers must overcome difficulties such as classification by the importance of consequences, imbalances of positive and negative data, environmental factors, and variation in camera capabilities. This paper puts forward a general framework for hazardous event detection which includes spatial-temporal feature extraction, statistical-based classification for biased data and calibration for environmental change. At the current stage of development, the framework can work effectively for detecting hazardous events like fire/smoke from video sequences.

Paper Details

Date Published: 10 January 2003
PDF: 12 pages
Proc. SPIE 5021, Storage and Retrieval for Media Databases 2003, (10 January 2003); doi: 10.1117/12.476311
Show Author Affiliations
Yi Wu, Univ. of California/Santa Barbara (United States)
Edward Y. Chang, Univ. of California/Santa Barbara (United States)
Gang Wu, Univ. of California/Santa Barbara (United States)

Published in SPIE Proceedings Vol. 5021:
Storage and Retrieval for Media Databases 2003
Minerva M. Yeung; Rainer W. Lienhart; Chung-Sheng Li, Editor(s)

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