Affiliation:
1. National Yunlin University of Science and Technology
Abstract
Designing a visual monitoring system to detect fire flame is a complex task because a large amount of video data must be transmitted and processed in real time. In this work, an intelligent fire fighting and detection system is proposed which uses a machine vision to locate the fire flame positions and to control a mobile robot to approach the fire source. This real-time fire monitoring system uses the motion history detection algorithm to register the possible fire position in transmitted video data and then analyze the spectral, spatial and temporal characteristics of the fire regions in the image sequences. The fire detecting and fighting system is based on the visual servoing feedback framework with portable components, off-the-shelf commercial hardware, and embedded programming. Experimental results show that the proposed intelligent fire fighting system is successfully detecting the fire flame and extinguish the fire source reliably.
Publisher
Trans Tech Publications, Ltd.
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Reference8 articles.
1. G. Healey, D. Slater, T. Lin, B. Drda, A. D. Goedeke, D. Ltd and N. Beach: IEEE Computer Vision and Pattern Recognition Conference (1993), p.605.
2. W. Phillips III, M. Shah and N. da Vitoria Lobo: Pattern Recognition Letters Vol. 23 (2002), p.319.
3. T. Celik, H. Özkaramanlı and H. Demirel: Proceedings of 15th European Signal Processing Conference (2007), p.1794.
4. T. H. Chen, C. L. Kao and S. M. Chang: IEEE 37th Annual 2003 International Carnahan Conference (2003), p.104.
5. W. B. Horng, J. w. Peng and C. Y. Chen: Proceedings of the IEEE International Conference on Networking, Sensing and Control (2005), p.100.
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献