基于移动小车的行人监控系统

doi:10.11959/j.issn.1000-0801.2017042

Abstract

Abstract:

Pedestrian surveillance is one of the most important aspects in the surveillance system.Traditional surveillance equipment can only cover the limit area.Namely,once the surveillance equipment is implemented,it can only monitor a specific region.Besides,the surveillance system can't detect if there is a person in the surveillance picture or not.The professional staffs are needed to determine whether there is a person in the surveillance picture.To solve this problem,a computer vision based on mobile pedestrian surveillance system was designed.By implementing a surveillance camera on a mobile small vehicle and remotely control it,the system could switch the monitoring area.Besides,the system could classify and locate the pedestrian in the picture with the deep convolutional neural network and correlation filters.Finally,the system was tested on the spot,which verified the feasibility of the system.

Key words: computer vision, pedestrian surveillance, mobile vehicle, deep convolutional neural network, correlation filter

CLC Number:

TP277

Huijun XING,Shuo CHANG. Pedestrian surveillance system based on mobile vehicle[J]. Telecommunications Science, 2017, 33(2): 120-127.

Figures/Tables 10

References 24

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网络名称	测试时间/s	%漏检率
本文提出模型	0.26	23%
SAF R-CNN	0.37	10%
R-CNN	5.31	13%

Pedestrian surveillance system based on mobile vehicle

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