典型文献
Smoke root detection from video sequences based on multi-feature fusion
文献摘要：
Smoke detection is the most commonly used method in early warning of fire and is widely used in forest detection.Most existing smoke detection methods contain empty spaces and obstacles which interfere with detection and extract false smoke roots.This study developed a new smoke roots search algorithm based on a multi-feature fusion dynamic extraction strategy.This determines smoke origin candidate points and region based on a multi-frame discrete confidence level.The results show that the new method pro-vides a more complete smoke contour with no background interference,compared to the results using existing methods.Unlike video-based methods that rely on continuous frames,an adaptive threshold method was developed to build the judgment image set composed of non-consecutive frames.The smoke roots origin search algorithm increased the detec-tion rate and significantly reduced false detection rate com-pared to existing methods.
文献关键词：
中图分类号：
作者姓名：
Liming Lou;Feng Chen;Pengle Cheng;Ying Huang
作者机构：
School of Technology,Beijing Forestry University,100083 Beijing,People's Republic of China;School of Nature Conservation,Beijing Forestry University,100083 Beijing,People's Republic of China;Department of Civil,Construction,and Environmental Engineering,North Dakota State University,Fargo,ND 58102,USA
文献出处：
引用格式：
[1]Liming Lou;Feng Chen;Pengle Cheng;Ying Huang-.Smoke root detection from video sequences based on multi-feature fusion)[J].林业研究（英文版）,2022(06):1841-1856
A类：
B类：
Smoke,detection,from,video,sequences,multi,feature,fusion,most,commonly,used,early,warning,fire,widely,forest,Most,existing,smoke,methods,contain,empty,spaces,obstacles,which,false,roots,This,study,developed,new,search,algorithm,dynamic,extraction,strategy,determines,origin,candidate,points,region,discrete,confidence,level,results,show,that,pro,vides,more,complete,contour,background,interference,compared,using,Unlike,rely,continuous,frames,adaptive,threshold,was,build,judgment,image,set,composed,consecutive,increased,significantly,reduced
AB值：
0.523387
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