최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기Procedia engineering, v.211, 2018년, pp.441 - 446
Zhang, Qi-xing , Lin, Gao-hua , Zhang, Yong-ming , Xu, Gao , Wang, Jin-jun
Abstract In this paper, Faster R-CNN was used to detect wildland forest fire smoke to avoid the complex manually feature extraction process in traditional video smoke detection methods. Synthetic smoke images are produced by inserting real smoke or simulative smoke into forest background to solve t...
Fire safety journal Yuan 46 3 132 2011 10.1016/j.firesaf.2011.01.001 Video-based smoke detection with histogram sequence of LBP and LBPV pyramids
Toreyin B. U., Dedeoglu Y., Cetin A. E., 2006. Contour based smoke detection in video using wavelets, 14th European Signal Processing Conference.
Fire technology Yu 46 3 651 2010 10.1007/s10694-009-0110-z Video fire smoke detection using motion and colour features
Fire Technology Jia 52 5 1271 2016 10.1007/s10694-014-0453-y A saliency-based method for early smoke detection in video sequences
Hohberg S. P., 2015. Wildfire smoke detection using convolutional neural networks, Technical report, Freie Universitt Berlin, Berlin, Germany.
IEEE International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems Genovese 2011 1 2011 Virtual environment for synthetic smoke clouds generation
Fire Safety Journal Xu 93 53 2017 10.1016/j.firesaf.2017.08.004 Deep domain adaptation based video smoke detection using synthetic smoke images
IEEE Transactions on Pattern Analysis & Machine Intelligence Ren 39 6 1137 2017 10.1109/TPAMI.2016.2577031 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
European Conference on Computer Vision. Springer, Cham Zeiler 2014 818 2014 Visualizing and Understanding Convolutional Networks
Wellhausen A., Stadler A., 2017. A Smoke Type Classification Concept for Video Smoke Detection, Proceedings of the 16th International Conference on Automatic Fire Detection AUBE’17.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.