Dynamic Analysis for Video Based Smoke Detection
In recent years, video based fire detection technologies
received much attentions from both industrial and
academic world. Since smoke is usually generated before
flames and can be observed from a great distance,
it is an important feature for many early fire alarm system.
In this paper, a video based smoke detection system
is developed for the surveillance of early fire. Besides
traditional color and texture features of the video
smoke, the authors proposed a combination of block
based Inter-Frame Difference (BIFD) and LBP-TOP to
analyze the dynamic characteristics of the smoke. In
order to reduce the false alarms, the Smoke Histogram
Image (SHI) is constructed to register the recent classification
results of candidate smoke blocks. SVM is
employed to evaluate the performance of the propose
features in the classification of candidate smoke blocks.
Experimental results show that the proposed method
can achieve better accuracy and less false alarm compared
with the state-of-the-art technologies.
Keywords: smoke detection, dynamic texture, BIFD, LBP-TOP, SHI
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ABOUT THE AUTHORS
Chen Junzhou
CHEN received his Ph.D. degree from Department of Computer Science & Engneering of the Chinese University of Hong Kong. He also received a bachelor degree from Sichuan University.His research interests includes: Computer Vision, Pattern Recognition, Machine Learning, Image/Video Processing.
You Yong
YOU is currently a postgraduate at the School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China.His research interests includes: Computer Vision,Image/Video Processing.
Peng Qiang
PENG received the Ph.D. degrees in traffic information and control engineering from Southwest University, Chengdu, China.He is currently a Professor at the School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China. He is member of ACM, senior member of CCF, and expert group member of security evaluation committee of the Ministry of Railway.
Chen Junzhou
CHEN received his Ph.D. degree from Department of Computer Science & Engneering of the Chinese University of Hong Kong. He also received a bachelor degree from Sichuan University.His research interests includes: Computer Vision, Pattern Recognition, Machine Learning, Image/Video Processing.
You Yong
YOU is currently a postgraduate at the School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China.His research interests includes: Computer Vision,Image/Video Processing.
Peng Qiang
PENG received the Ph.D. degrees in traffic information and control engineering from Southwest University, Chengdu, China.He is currently a Professor at the School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China. He is member of ACM, senior member of CCF, and expert group member of security evaluation committee of the Ministry of Railway.
