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This paper presents a smoke detection approach for surveillance cameras that uses color, shape, and motion characteristics. The fact a camera is immovable simplifies detection task by applying background subtraction. Color analysis emphasizes moving objects that have higher probability to be actual smoke. Due to limited performance of background subtraction, a real smoke region is represented as many...
This paper introduces the smoke detection method for surveillance cameras. The background subtraction was used to determine moving objects. Color probability was utilized to find possible smoke pixels in a scene. Separate pixels, acquired by background subtraction, were united by morphological operations and connected components labeling methods. The existence of the smoke region is then confirmed...
This paper describes the smoke detection for static cameras. The background subtraction was used to determine moving objects. Color characteristics were utilized to distinguish smoke regions and other scene members. Separate pixels were united into blobs by morphology operations and connected components labeling methods. The image is then refined by boundary roughness and edge density to decrease...
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