An Integrated Framework for 24-Hours Fire Detection
Abstract
In this paper, the integrated framework for 24-hours fire detection with a camera is proposed. The framework consists of four novel modules: an integration module, a flame detector with a visible-light camera, a flame detector with an infrared-ray camera, and a smoke detector. According to the state decided by the integration module, different detectors are selected to find fires. The flame detector with a visible-light camera determines flame patches from candidates through the cascaded classifiers, based on the color, shape, and randomness of flames. The flame detector with an infrared-ray camera finds flames, using the random movement of blob candidates. The smoke detector recognizes the smoke regions by utilizing the colors and the transparent property of smoke. The three detectors and the integrated framework are tested with numerous videos, which validates the generality and the robustness of the proposed framework.
Cite
Text
Choi and Choi. "An Integrated Framework for 24-Hours Fire Detection." European Conference on Computer Vision, 2016. doi:10.1007/978-3-319-48881-3_32Markdown
[Choi and Choi. "An Integrated Framework for 24-Hours Fire Detection." European Conference on Computer Vision, 2016.](https://mlanthology.org/eccv/2016/choi2016eccv-integrated/) doi:10.1007/978-3-319-48881-3_32BibTeX
@inproceedings{choi2016eccv-integrated,
title = {{An Integrated Framework for 24-Hours Fire Detection}},
author = {Choi, Jongwon and Choi, Jin Young},
booktitle = {European Conference on Computer Vision},
year = {2016},
pages = {463-479},
doi = {10.1007/978-3-319-48881-3_32},
url = {https://mlanthology.org/eccv/2016/choi2016eccv-integrated/}
}