A Real-Time Fire Detection Method from Video with Multifeature Fusion.

Wenjuan Gong,Tao Song,Chuantao Li,Xiangbing Yuan,Xin Li,Faming Gong,Yuhui Ma

doi:10.1155/2019/1939171

Abstract

The threat to people's lives and property posed by fires has become increasingly serious. To address the problem of a high false alarm rate in traditional fire detection, an innovative detection method based on multifeature fusion of flame is proposed. First, we combined the motion detection and color detection of the flame as the fire preprocessing stage. This method saves a lot of computation time in screening the fire candidate pixels. Second, although the flame is irregular, it has a certain similarity in the sequence of the image. According to this feature, a novel algorithm of flame centroid stabilization based on spatiotemporal relation is proposed, and we calculated the centroid of the flame region of each frame of the image and added the temporal information to obtain the spatiotemporal information of the flame centroid. Then, we extracted features including spatial variability, shape variability, and area variability of the flame to improve the accuracy of recognition. Finally, we used support vector machine for training, completed the analysis of candidate fire images, and achieved automatic fire monitoring. Experimental results showed that the proposed method could improve the accuracy and reduce the false alarm rate compared with a state-of-the-art technique. The method can be applied to real-time camera monitoring systems, such as home security, forest fire alarms, and commercial monitoring.

Highlights

With the rapid spread of urbanization in the world, both the number of permanent residents in cities and the population density are increasing
In March and April of 2019, there were many largescale fire accidents around the world, such as forest fires in Liangshan, China, the Notre Dame fire in France, forest fires in Italy, and the grassland fire in Russia, which caused great damage to people’s lives and property. erefore, fire detection is vitally important to protecting people’s lives and property. e current detection methods in cities rely on various sensors for detection [3,4,5,6], including smoke alarms, temperature alarms, and infrared ray alarms
Most of the alarms can only be functional in a closed environment, which is ineffective for a wide space, such as outdoors or public spaces. ird, there may be false alarms

Summary

Introduction

With the rapid spread of urbanization in the world, both the number of permanent residents in cities and the population density are increasing. It seriously threatens people’s lives and causes major economic losses. E current detection methods in cities rely on various sensors for detection [3,4,5,6], including smoke alarms, temperature alarms, and infrared ray alarms. These alarms can play a role, they have major flaws. A certain concentration of particles in the air must be reached to trigger an alarm. Human beings cannot intervene and get the latest information in time

Methods

Results

Discussion

Conclusion