Based on investigating color , text ure and temporal feat ures for vision based fire detection , a distance model of contour fluct uation between two successive f rames in t he normalized Fourier descriptor s domain was presented to measure t his time varying contour fluct uation feat ure of flame. The model of contour fluct uation is effective and robust for fire recognition. To f urt her reduce fal se alarms , several features ext racted according to color , text ure and the distance model were toget her regarded as a joint feature vector for artificial neural network to detect fire. Experiment s show t hat the algorithm is effective and robust , and t hat it is significant for improving accuracy and reducing fal se alarms.

Featureextractionforcomputervisionbasedfiredetection.pdf

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