Paper
8 February 2005 Automatic flame tracking technique for atrium fire from video images
Jin Li, Puyi Lu, Naikong Fong, Wanki Chow, Lingtim Wong, Dianguo Xu
Author Affiliations +
Abstract
Smoke control is one of the important aspects in atrium fire. For an efficient smoke control strategy, it is very important to identify the smoke and fire source in a very short period of time. However, traditional methods such as point type detectors are not effective for smoke and fire detection in large space such as atrium. Therefore, video smoke and fire detection systems are proposed. For the development of the system, automatic extraction and tracking of flame are two important problems needed to be solved. Based on entropy theory, region growing and Otsu method, a new automatic integrated algorithm, which is used to track flame from video images, is proposed in this paper. It can successfully identify flames from different environment, different background and in different form. The experimental results show that this integrated algorithm has stronger robustness and wider adaptability. In addition, because of the low computational demand of this algorithm, it is also possible to be used as part of a robust, real-time smoke and fire detection system.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jin Li, Puyi Lu, Naikong Fong, Wanki Chow, Lingtim Wong, and Dianguo Xu "Automatic flame tracking technique for atrium fire from video images", Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); https://doi.org/10.1117/12.573869
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KEYWORDS
Image segmentation

Video

Detection and tracking algorithms

Flame detectors

Automatic tracking

Combustion

Image processing algorithms and systems

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