Abstract:

A multifeature fusion flame detection algorithm using videotype judgment algorithm was proposed. In this algorithm, the videotype of each frame was first judged. Then candidate flame region was extracted by the algorithm that corresponds image types, at last the flame frequency feature based on DCT and image correlation feature between frames in the candidate region were detected to determine the existence of flame. The traditional visualization fire detection technology is basically based on analyzing the images from infrared cameras or visible camera to detect flame. The method can not meet the requirements of roundtheclock monitoring flame in engineering application. Experiments show that the proposed detection algorithm can resolve this problem, detect flame fast and reduce the error rate.

Key words: video type judgment, roundtheclock, fire detection, feature fusion, infrared video