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標題Title: Computer vision based method for real-time fire and flame detection
作者Authors: 吳偉誠
上傳單位Department: 資訊工程系
上傳時間Date: 2009-11-4
上傳者Author: 吳偉誠
審核單位Department: 資訊工程系
審核老師Teacher: 李育強
檔案類型Categories: 研究生論文報告Thesis
關鍵詞Keyword: Fire detection in video; Wavelet transform; Gaussian mixture model; Event detection in video
摘要Abstract: This paper proposes a novel method to detect fire and/or flames in real-time by processing the video data generated by an ordinary
camera monitoring a scene. In addition to ordinary motion and color clues, flame and fire flicker is detected by analyzing the video in
the wavelet domain. Quasi-periodic behavior in flame boundaries is detected by performing temporal wavelet transform. Color variations
in flame regions are detected by computing the spatial wavelet transform of moving fire-colored regions. Another clue used in the fire
detection algorithm is the irregularity of the boundary of the fire-colored region. All of the above clues are combined to reach a final
decision. Experimental results show that the proposed method is very successful in detecting fire and/or flames. In addition, it drastically
reduces the false alarms issued to ordinary fire-colored moving objects as compared to the methods using only motion and color
clues.

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2009_11_33d71da2.ppt 4144Kb ppt 1090 169
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