Pedestrian surveillance system based on mobile vehicle

Huijun XING; Shuo CHANG

doi:10.11959/j.issn.1000-0801.2017042

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Pedestrian surveillance system based on mobile vehicle

Research and development | 更新时间：2024-06-05

- Pedestrian surveillance system based on mobile vehicle
- Telecommunications Science Vol. 33, Issue 2, Pages: 120-127(2017)
- 作者机构：
  
  1. 北京师范大学第二附属中学，北京 100088
  2. 北京邮电大学，北京 100876
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2017042
  CLC： TP277
- Published Online：2017-02，
  
  Published：20 February 2017
- 稿件说明：
移动端阅览
Huijun XING, Shuo CHANG. Pedestrian surveillance system based on mobile vehicle[J]. Telecommunications science, 2017, 33(2): 120-127.
DOI：

Huijun XING, Shuo CHANG. Pedestrian surveillance system based on mobile vehicle[J]. Telecommunications science, 2017, 33(2): 120-127. DOI： 10.11959/j.issn.1000-0801.2017042.

摘要

行人监控属于监控系统中比较重要的一个方面。传统的行人监控手段存在监控区域受限的问题，即监控设备一旦安装后，只能监控固定的区域，目前仍然需要人工判别监控画面中是否有行人。针对这个问题，设计了基于计算机视觉的移动行人监控系统。通过操控搭载了监控摄像头的移动小车，实现监控区域的自由切换。另外，配合成熟的深度卷积神经网络算法和相关滤波器，实现了监控画面中行人的自主识别、定位。最后对该系统进行了实地测试，验证了行人监控系统的可行性。

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.

关键词

Keywords

references

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