A model integrating fire prediction and detection for rural urban interface

Alamgir, Nyma, Boles, Wageeh W., & Chandran, Vinod (2015) A model integrating fire prediction and detection for rural urban interface. In International Conference on Digital Image Computing: Techniques and Applications (DICTA), 23-25 November 2015, Adelaide Town Hall, Adelaide, S.A.

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This paper proposes a model that integrates new fire detection and fire prediction techniques for the rural-urban interface area. The model aims to predict fire risk from weather parameters, and to detect smoke using video monitoring systems as smoke is the early sign of fire. Further, the fire danger index (FDI) provided by the prediction algorithm would be utilized to enhance the certainty of fire detection and reduce false alarm rates. Experimental results illustrate that our prediction algorithm successfully predicts fire risk on a five-point scale with mean accuracy of 94.92% and the detection algorithm more effectively detects smoke compared to other algorithms by achieving 97% average accuracy.

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ID Code: 95629
Item Type: Conference Paper
Refereed: Yes
Keywords: Fire Model, Fire Prediction, Fire Detection, Alarm Verification, Rural-Urban Interface
DOI: 10.1109/DICTA.2015.7371217
ISBN: 9781467367950
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 23 May 2016 22:36
Last Modified: 24 May 2016 21:37

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