Algorithm of Moving Object Detection in Static Background

WU Jun-qin; LIU Hao; LUO Yong

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Algorithm of Moving Object Detection in Static Background

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- Algorithm of Moving Object Detection in Static Background
- Chinese Journal of Liquid Crystals and Displays Vol. 27, Issue 5, Pages: 682-686(2012)
- 作者机构：
  
  江西理工大学信息工程学院,江西赣州,341000
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Received：28 February 2012，
  
  Revised：16 April 2012，
  
  Published：15 October 2012
- 稿件说明：
移动端阅览
吴君钦, 刘昊, 罗勇. 静态背景下的运动目标检测算法[J]. 液晶与显示, 2012,(5): 682-686

WU Jun-qin, LIU Hao, LUO Yong. Algorithm of Moving Object Detection in Static Background[J]. , 2012,(5): 682-686
吴君钦, 刘昊, 罗勇. 静态背景下的运动目标检测算法[J]. 液晶与显示, 2012,(5): 682-686 DOI：

WU Jun-qin, LIU Hao, LUO Yong. Algorithm of Moving Object Detection in Static Background[J]. , 2012,(5): 682-686 DOI：

摘要

运动目标检测是计算机视觉研究的重要组成部分。为了改进传统运动目标检测算法存在空洞、阴影和虚假边缘现象

提出一种静态背景下基于五帧差分与背景边缘差分相结合的运动目标检测算法。该算法首先利用优化的Canny边缘检测算法快速简单地构建稳定的背景边缘模型

同时利用背景边缘检测差确定运动目标边缘;之后与五帧差分法检测的结果相累加;最后通过同化填充和后期相关处理提取完整、准确的运动目标区域。实验结果表明

该算法准确率高

连通性好

能满足实时性检测的要求。

Abstract

Moving object detection is an important part of computer vision research. In order to eliminate the phenomenon of inanition

shadow and false edge

an novel algorithm of moving object detection based on five-frame-differencing and background edge-characteristic difference in the static background

is presented in this paper. Firstly

a background model is based on improved algorithm of Canny edge detection

the edge of motion object is gained by the background edge-characteristic difference

and then

it is combined with five-frame differencing to detect the motion object. Finally the complete and accurate object is extracted with morphologic filtering and connectivity detecting. The result shows the present algorithm runs quickly and veraciously and fits for real time detection.

关键词

Keywords

references

Lipton A J, Fujiyoshi H, Patil R S. Moving target classification and tracking from real-time video //Proc. IEEE Workshop on Applications of Computer, Princeton, NJ:IEEE, 1998:8-14.

莫林,廖鹏,刘勋.一种基于背景减除与三帧差分的运动检测算法 [J]. 微型计算机信息, 2009,25(4):274-276.

刘翔,周桢.基于分块背景建模的运动目标检测技术 [J]. 液晶与显示, 2011,26(6):831-835.

张小建,徐慧.基于视频处理的运动车辆检测算法的研究 [J]. 液晶与显示, 2012,1(27):108-113.

杜晶晶.智能视频监控中运动目标检测与跟踪算法研究.成都:西南交通大学, 2009.

Canny J. A computational approach to edge detection [J]. IEEE Transactions on PAMI, 1986,8(6):669-698.

陈凤东,洪炳镕.基于动态阈值背景差分算法的目标检测方法 [J]. 哈尔滨工业大学学报, 2005,32(7):883-884.

倪崇嘉,刘文奇,张爱英.基于数学形态学的视频图像序列中的运动目标检测 [J]. 计算机工程与科学, 2006,28(6):69-71.

刘伟静.视频序列目标检测与跟踪技术的研究.保定:河北大学,2009.

陈远.复杂场景中视觉运动目标检测与跟踪.武汉:华中科技大学,2008.

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