Vision-based fire detection algorithm using optical flow

  • Ha, Changwoo
  • Hwang, Ung
  • Jeon, Gwanggil
  • Cho, Joongwhee
  • Jeong, Jechang
Citations

SCOPUS

43

초록

Recently automatic video surveillance in the digital video recording CCTV system is rapidly becoming one of the most accepted security system. The dangerous situations such as forest fire, flood, and terrorism are increasing, and cause serious casualty and property loss. In this paper, we particularly focus on the fire detection system in video. The proposed block-based fire detection algorithm consists of three basic steps. In the first step, we find motion vector utilizing optical flow and distinguish the suspect as fire region. In the second step, we conduct chromatic detection based on Lab color space. In the final step, we employ motion information for detecting the correct fire block by using the characteristics that fire goes almost upward. Experimental results show that the proposed method yields good performance for fire detection.

키워드

Dangerous situationsDigital video recordingFire detectionFire detection systemsForest firesLab color spaceMotion informationMotion VectorsProperty lossVideo surveillanceVision basedDeforestationOptical flowsSecurity systemsSignal detectionFire detectorsAlgorithmsData StorageDeforestationFire DetectorsFloodsForest FiresSignals
제목
Vision-based fire detection algorithm using optical flow
저자
Ha, ChangwooHwang, UngJeon, GwanggilCho, JoongwheeJeong, Jechang
DOI
10.1109/CISIS.2012.25
발행일
2012-07
유형
Conference Paper
저널명
Proceedings - 2012 6th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2012
페이지
526 ~ 530