Target Detection and Recognition Method of Farming Machine Based on Machine Vision

	Target Detection and Recognition Method of Farming Machine Based on Machine Vision
	Jiang Jiajun; Gui Xiangquan
	2016
关键词	farm farming machine operation background detection machine vision
卷号	47
页码	1385-1389
英文摘要	In operation system of farming machine, the moving target detection is a key part of the monitoring system. Aimed at the shortcoming of poor detection effect of Gaussian background modeling, this paper proposes a detection method based on non-reference background model. The model utilizes the previous series of sampling values of current pixel to estimate the probability model of observed pixel; then based on the probability model to carry on binary detection of moving object. In terms of moving target recognition, this paper puts forward several characteristics, and trains identification through BP neural network. The experimental results show that the background model can effectively detect the moving target, and also achieve the satisfactory effect of recognition rate of farming machine based on machine vision.
会议录	PROCEEDINGS OF THE 2015 4TH NATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING ( NCEECE 2015)
会议录出版者	ATLANTIS PRESS
会议录出版地	29 AVENUE LAVMIERE, PARIS, 75019, FRANCE
语种	英语
WOS研究方向	Automation & Control Systems ; Engineering
WOS记录号	WOS:000373378400244
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36392]
专题	计算机与通信学院
通讯作者	Jiang Jiajun
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Jiang Jiajun,Gui Xiangquan. Target Detection and Recognition Method of Farming Machine Based on Machine Vision[C]. 见:.