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Large Scale Crowd Analysis Based on Convolutional Neural Network
Lijun, Cao; Kaiqi, Huang
2015-06-06
发表期刊Pattern Recognition
卷号48期号:10页码:3016–3024
摘要Nowadayscrowdsurveillanceisanactiveareaofresearch.Crowdsurveillanceisalwaysaffectedby
variousconditions,suchasdifferentscenes,weather,ordensityofcrowd,whichrestrictsthereal
application. Thispaperproposesaconvolutionalneuralnetwork(CNN)basedmethodtomonitorthe
number ofcrowd flow,suchasthenumberofenteringorleavingpeopleinhighdensitycrowd.Itusesan
indirect strategyofcombiningclassification CNNwithregressionCNN,whichismorerobustthanthe
direct way.Alargeenoughdatabaseisbuiltwithlotsofrealvideosofpublicgates,andplentyof
experimentsshowthattheproposedmethodperformswellundervariousweatherconditionsnomatter
either indaytimeoratnight.
关键词Crowd Analysis Flow Counting Cnn Large Scaledata
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/11816
专题智能感知与计算研究中心
通讯作者Kaiqi, Huang
作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Lijun, Cao,Kaiqi, Huang. Large Scale Crowd Analysis Based on Convolutional Neural Network[J]. Pattern Recognition,2015,48(10):3016–3024.
APA Lijun, Cao,&Kaiqi, Huang.(2015).Large Scale Crowd Analysis Based on Convolutional Neural Network.Pattern Recognition,48(10),3016–3024.
MLA Lijun, Cao,et al."Large Scale Crowd Analysis Based on Convolutional Neural Network".Pattern Recognition 48.10(2015):3016–3024.
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