Video Based Fire Retrieval Based On a Novel Image Technique Combining Color and Texture Features
This paper proposes a video based fire retrieval based on a novel image technique combining color and texture feature. The time complexity of most previous vision-based fire detection techniques are very high due to lengthy programing. To overcome the problems of lengthy codes and time complexity, in this algorithm, at first we normalize the video image frames by size and color information. Then the spatial distribution of the color information is used to extract the candidate regions, later using visual texture of the fire, we detect the fire regions. The experimental results show an realtime fire detection over thousands of image frames, and have higher detection rate when compared to the conventional fire detection techniques. The detection rate achieved was 100％.
detection fire detection YCbCr Texture
Feng-Ji Piao Ji-Goo Ryu Kwang-Seok Moon Jong-Nam Kim
Dept. of Electronics Engineering Pukyong National University Busan, Korea Dept. of IT Convergence and Application Engineering Pukyong National University Busan, Korea
国际会议
重庆
英文
514-516
2011-01-21（万方平台首次上网日期，不代表论文的发表时间）