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.
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.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Conference Paper|
|Keywords:||Fire Model, Fire Prediction, Fire Detection, Alarm Verification, Rural-Urban Interface|
|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|
Repository Staff Only: item control page