System of multi-regions moving object detection in video surveillance

LIN Pei-jie; ZHENG Bo-chun; CHEN Zhi-cong; WU Li-jun; CHENG Shu-ying

doi:10.3788/YJYXS20153003.0484

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System of multi-regions moving object detection in video surveillance

Imaging Technology & Image Processing | 更新时间：2020-08-12

- System of multi-regions moving object detection in video surveillance
- Chinese Journal of Liquid Crystals and Displays Vol. 30, Issue 3, Pages: 484-491(2015)
- 作者机构：
  
  1. 福州大学物理与信息工程学院, 福建福州 350116
  2. 福州大学微纳器件与太阳能电池研究所,福建福州,350116
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20153003.0484
  CLC： TN409
- Received：20 June 2014，
  
  Revised：21 July 2014，
  
  Published：05 June 2015
- 稿件说明：
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林培杰, 郑柏春, 陈志聪, 吴丽君, 程树英. 面向多区域视频监控的运动目标检测系统[J]. 液晶与显示, 2015,30(3): 484-491

LIN Pei-jie, ZHENG Bo-chun, CHEN Zhi-cong, WU Li-jun, CHENG Shu-ying. System of multi-regions moving object detection in video surveillance[J]. , 2015,30(3): 484-491
林培杰, 郑柏春, 陈志聪, 吴丽君, 程树英. 面向多区域视频监控的运动目标检测系统[J]. 液晶与显示, 2015,30(3): 484-491 DOI： 10.3788/YJYXS20153003.0484.

LIN Pei-jie, ZHENG Bo-chun, CHEN Zhi-cong, WU Li-jun, CHENG Shu-ying. System of multi-regions moving object detection in video surveillance[J]. , 2015,30(3): 484-491 DOI： 10.3788/YJYXS20153003.0484.

摘要

为了实现视频监控现场多区域运动目标检测

分析了传统运动检测算法的不足

结合帧间差分法和背景差分法

提出背景动态更新的运动检测算法.该算法能自适应背景的变化

减少由背景变化造成的误检测.构建基于FPGA的视频监控系统

在FPGA上用该算法实现了640 pixel480 pixel

30帧/s视频信号流的运动目标实时检测.系统提供了分区域运动目标检测的功能.检测区域的大小、位置和个数可通过简单的按键操作进行设定.测试结果表明

系统可以实时地对进入划定区域的运动目标进行检测和闪烁告警

且资源占用较少

适合在小规模的FPGA上进行实现.

Abstract

In order to realize multi-regions moving object detection in video surveillance

the shortage of traditional moving object detection algorithm is analyzed. Combining the background subtraction algorithm and frame difference algorithm

we propose a method which dynamically refresh the background. This algorithm can adapt with the background automatically

and reduce error detections caused by the change of background. We build a video surveillance system based on a FPGA chip

and implement the algorithm on the chip. The system can detect moving object in a 640 pixel480 pixel

30 frames/s video stream. The system also provides a function which detects moving object in independent regions. The number

size and location of the regions can be set easily by simple keystrokes. The system's configuration is convenient

and has strong flexibility. It can be utilized in various fields such as intelligent surveillance and production safety.

关键词

Keywords

references

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