Moving Object Detection Algorithm Based on Background Subtraction and Frame Differencing
With the aim of overcoming the disadvantage of rapid lighting changes,a moving object detection algorithm based on background and consecutive frames difference is presented.At first,background model is obtained by statistical properties of pixels block-based.Then,the moving object is extracted with background subtraction and multi-frame-differencing,which is insensitivity to the target objects speed and environmental disturbance.Furthermore,rapid lighting changes are discovered through quantity change of consecutive framesforeground pixels.And,the normalized cross-correlation coefficient is used to suppress false positives.Finally,morphologic operation is applied to remove the influence of outside noise.Experimental results show that the proposed algorithm with simple model can prevent a large quantity of false detection which is produced by rapid lighting changes and the moving object is obtained integrally and correctly.
XIONG Weihua XIANG Lei LI Junfeng ZHAO Xinlong
College of Mechanical and Automation,Zhejiang SCI-TECH University,Hangzhou 310018,P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-4
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）