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International Journal of Soft Computing
Year: 2009  |  Volume: 4  |  Issue: 1  |  Page No.: 45 - 48

Detection of Smoke Propagation Direction Using Color Video Sequences

Rubaiyat Yasmin    

Abstract: To better assess fire location and direction of fire development, it is crucial to detect smoke and a clear undestanding of smoke propagation direction. Smokes tend to progress rather than backtrack. They do not usually go in one direction. The proposed method focuses on the detection of smoke propagation direction with image analysis that enables a potential fire risk situation to be recognized at an early stage. Using the consecutive smoke image frames having significant smoke candidate, comparison has been done by DP matching to detect the global direction of smoke propagation. In this research, the possible directions of smoke have been grouped into 4 categories. The direction of movement of smoke in one category shows the global direction of smoke propagation in that direction. The general information about that direction can be used to identify area at risk for at least filling with smoke and possibly catching fire.

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