@inproceedings{a5ce76fcc58c480989eea9c61b660b1b,
title = "Wavelet based smoke detection method with RGB Contrast-image and shape constrain",
abstract = "Smoke detection in video surveillance is very important for early fire detection. A general viewpoint assumes that smoke is a low frequency signal which may smoothen the background. However, some pure-color objects also have this characteristic, and smoke also produces high frequency signal because the rich edge information of its contour. In order to solve these problems, an improved smoke detection method with RGB Contrast-image and shape constrain is proposed. In this method, wavelet transformation is implemented based on the RGB Contrast-image to distinguish smoke from other low frequency signals, and the existence of smoke is determined by analyzing the combination of the shape and the energy change of the region. Experimental results show our method outperforms the conventional methods remarkably.",
keywords = "RGB Contrast-image, Smoke detection, shape constrain, wavelet transform",
author = "Jiaqiu Chen and Yaowei Wang and Yonghong Tian and Tiejun Huang",
year = "2013",
doi = "10.1109/VCIP.2013.6706406",
language = "英语",
isbn = "9781479902903",
series = "IEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing",
booktitle = "IEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing",
note = "2013 IEEE International Conference on Visual Communications and Image Processing, IEEE VCIP 2013 ; Conference date: 17-11-2013 Through 20-11-2013",
}