关键词: 烟雾检测, 暗原色先验, 运动方向, 火源

Abstract: This paper presents a smoke detection method, which uses the colour, motion orientation and textural features to detect video smoke, and searches the location of fire source at the same time. Firstly, in view of smoke’s colour information, dark channel prior is adopted to extract smoke candidate regions. Secondly, non-smoke regions are excluded by estimating the motion orientation of smoke, as smoke’s motion orientation is not downward. And then, support vector machine is used to classify smoke from smoke candidate regions by extracting a set of smoke features. Finally, the location of fire source is estimated depending on the smoke’s location and the smoke’s frequency of occurrence. Experiments show that the proposed method is effective for smoke detection.

Key words: smoke detection, dark channel prior, motion orientation, fire source