engleski

Visual spatial-context based wildfire smoke sensor

Sensors for early fire detection based on visual analysis have been under constant development and improvement, especially during the last decade. However, there is still a lot of room for advancement to increase the accuracy and reliability of such sensors. In this paper a novel method for wildfire smoke detection based on spatial context analysis as well as motion detection, chro- matic, texture and shape analysis is introduced. Several measures for eval- uating quality of smoke detection are used, both on image and pixel scale. Smoke is a semi-transparent and amorphous phenomenon whose boundaries are hard to determine precisely, therefore fuzzy measures are introduced for assessing the detection error. The proposed method is evaluated using the pro- posed measures and compared with two existing methods. The results show that the wildfire sensor based on proposed method is capable of detecting fire- smoke accurately and reliably, and in most detection aspects it outperforms the existing methods.

wildfire smoke detection ; forest fire smoke detection ; visual context ; fuzzy evaluation measures

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