Smoke Detection Method Based on Dense Optical Flow and Target Detection

YE Hanyu; LI Chuanchang; LIU Miao; CUI Guohua; ZHANG Weiwei

doi:10.3969/j.issn.1671-637x.2022.07.020

[1] ZHAO Y Q, LI Q J, GU Z.Early smoke detection of forest fire video using CS adaboost algorithm［J］.Optik-International Journal for Light and Electron Optics, 2015, 126(19):2121-2124.

[2] WANG Y B.Smoke recognition based on machine vision［C］//International Symposium on Computer, Con-sumer and Control (IS3C).Xian:IEEE, 2016:668-671.

[3] LEE C Y, LIN C T, HONG C T, et al.Smoke detection using spatial and temporal analyses［J］.International Journal of Innovative Computing Information and Control, 2012, 8(7):4749-4770.

[4] XIONG Z Y, CABALLERO R E, WANG H C, et al.Video-based smoke detection:possibilities, techniques, and challenges［C］//Proceedings of Suppression and Detection Research and Applications:A Technical Working Conference.Orlando:IFPA, 2007:112-118.

[6] YUAN F.A fast accumulative motion orientation model based on integral image for video smoke detection［J］.Pattern Recognition Letters, 2008, 29(7):925-932.

[9] LUCAS B D, KANADE T.An iterative image registration technique with an application to stereo vision［C］//Proceedings of the 7th International Joint Conference on Artificial Intelligence.San Francisco:Morgan Kaufmann Publishers Inc., 1981:674-679.

[10] DOSOVITSKIY A, FISCHER P, ILG E, et al.FlowNet:learning optical flow with convolutional networks［C］//Proceedings of the IEEE International Conference on Computer Vision.Hangzhou:IEEE, 2015:2758-2766.

[11] HUI T W, TANG X, CHEN C L.LiteFlowNet:a lightweight convolutional neural network for optical flow estimation［C］//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Salt Lake City:IEEE, 2018:8981-8989.

[12] REDMON J, DIVVALA S, GIRSHICK R, et al.You only look once:unified, real-time object detection［C］//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Las Vegas:IEEE, 2016:779-788.

[13] REDMON J, FARHADI A.YOLO9000:better, faster, str-onger［C］//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Honolulu:IEEE, 2017:7263-7271.

[14] REDMON J, FARHADI A.Yolov3:an incremental improvement［R］.Los Alamos: arXiv Preprint, 2018:arXiv:1804.02767.

[15] BOCHKOVSKIY A, WANG C Y, LIAO H Y M.YOLOv4:optimal speed and accuracy of object detection［R］.Los Alamos: arXiv Preprint, 2020:arXiv:2004.10934.

[16] ROBBINS H, MONRO S.A stochastic approximation method［J］.The Annals of Mathematical Statistics, 1951, 22(3):400-407.

[17] KINGMA D P, BA J.Adam:a method for stochastic optimization［R］.Los Alamos: arXiv Preprint, 2014:arXiv:1412.6980.

[18] ZHUANG J T, TANG T, DING Y, et al.Adabelief optimizer:adapting stepsizes by the belief in observed gradients［R］.Los Alamos: arXiv Preprint, 2020:arXiv:2010.07468.