Early Fire Detection Using Multi-Stage Pattern Recognition Techniques in Video Sequences

摘要

This paper proposes an efficient early fire detection approach using multi-stage pattern recognition techniques, including background subtraction for movement-containing region detection, statistical rule-based color segmentation in YCbCr color space, a single-level spatial wavelet decomposition for observing flicker of fire, and a support vector machine to identify between fire of non-fire. This paper evaluates the proposed approach in terms of percentage of true positive and false negative. Experimental results indicate that average fire detection and false non-fire detection rates are 99.67 and 3.69 %, respectively.