Pedestrian surveillance system based on mobile vehicle

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 th...

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Main Authors: Huijun XING, Shuo CHANG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2017-02-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017042/
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author Huijun XING
Shuo CHANG
author_facet Huijun XING
Shuo CHANG
author_sort Huijun XING
collection DOAJ
description 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.
format Article
id doaj-art-31076074e785450481ac895852cb1b20
institution Kabale University
issn 1000-0801
language zho
publishDate 2017-02-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-31076074e785450481ac895852cb1b202025-01-15T03:13:23ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012017-02-013312012759603586Pedestrian surveillance system based on mobile vehicleHuijun XINGShuo CHANGPedestrian 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017042/computer visionpedestrian surveillancemobile vehicledeep convolutional neural networkcorrelation filter
spellingShingle Huijun XING
Shuo CHANG
Pedestrian surveillance system based on mobile vehicle
Dianxin kexue
computer vision
pedestrian surveillance
mobile vehicle
deep convolutional neural network
correlation filter
title Pedestrian surveillance system based on mobile vehicle
title_full Pedestrian surveillance system based on mobile vehicle
title_fullStr Pedestrian surveillance system based on mobile vehicle
title_full_unstemmed Pedestrian surveillance system based on mobile vehicle
title_short Pedestrian surveillance system based on mobile vehicle
title_sort pedestrian surveillance system based on mobile vehicle
topic computer vision
pedestrian surveillance
mobile vehicle
deep convolutional neural network
correlation filter
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017042/
work_keys_str_mv AT huijunxing pedestriansurveillancesystembasedonmobilevehicle
AT shuochang pedestriansurveillancesystembasedonmobilevehicle