Research Of Fire Security System Based On Omni-directional Vision

This paper introduced omni-directional vision to achieve a fire security system truly applicable to large space fire monitoring. According to the way people understanding the fire, this system used computer vision technology, combined with dynamic image understanding and multi-feature fusion, to implement intelligent fire detection. Experiments showed that this system could solve the shortcomings of existing vision based fire security system, such as poor real-time processing, complex algorithm, dependent on environment, etc.The main work and the results were summarized as following:1. Introduced omni-directional vision sensor to the fire security system, and structured embedded video server to achieve real-time panorama monitoring of large space. Developed unwrap algorithm to get panoramic image from omni-image, which was much better human readable and could be used properly in subsequent image processing.2. Designed an object-oriented fire detection model based on dynamic image understanding theory. This model achieved flame recognition by analyzing the properties, understood flame combustion pattern by analyzing the behavior, judged fire based on these information. This approach provided a new way on designing an intelligent fire security system.3. Researched on flame recognition of video sequence acquired by ordinary color camera. Detailed fire pixels extraction in the use of movement, color and frequency features. Designed and implemented the connected component filling algorithm based on contour traversal to identify the flame target region with semantic information.4. Researched on quantitative analysis algorithm of flame behaviors such as area changes, overall spread and contour characteristics. Applied fuzzy logic to achieve multi-feature fusion, and then designed the flame combustion pattern recognition algorithm which divided it into two different patterns: controlled combustion pattern and out of control fire burning pattern.5. Designed and implemented the fire security system using Java programming language. Performed a variety of experiments under different conditions of illumination, and achieved good experimental results. It showed that multi-feature fusion technology could increase the fire detection rate significantly. Although this paper has done some basic research on vision based fire security technology, there is still a certain distance to the practical application of fire detection. Hope this work would be able to play a certain role in the reference to the further researchers on the same topic.