太原理工大学学报2017，Vol.48Issue(6)：963-968,6.DOI:10.16355/j.cnki.issn1007-9432tyut.2017.06.015
基于RGB颜色空间的矿井运动目标检测及跟踪方法
A Method of Mine Moving Objects Detecting and Tracking Based on RGB Color Space
摘要
Abstract
On the basis of studying the gray-level plane frame-difference method,a method of detecting video moving objects was put forward based on the color change frame-difference meth-od in RGB color space.The algorithm calculates the frame difference of two adjacent color video frames on RGB three planes separately,and determines whether the changes of the pixel values of RGB three planes for each pixel spot is are in the same direction and calculate by superimposing them.As a consequence,the image of moving objects in frame-difference image is clearer and the noise is more prominent,which makes the foreground image and the background image more easi-ly separated,and subsequent morphological processing such as binarization,filtering,filling and expansion corrosion easier.By using above algorithm and Camshift algorithm,the aim of detec-ting and tracking the moving objects in coal mine was achieved on Labview.The field test resultsshow that the combined algorithm can complete the real-time and accurate detection and tracking of moving objects in coal mine,can realize the linkage with existing production safety monitoring system,which can further ensure the safety of mine production.关键词
RGB颜色空间/色变帧差法/运动目标检测与跟踪/Camshift算法Key words
RGB color space/color change frame-difference method/moving objects detection and tracking/Camshift algorithm分类
矿业与冶金引用本文复制引用
耿蒲龙,宋建成,刘旭飞,王海斌,原磊明..基于RGB颜色空间的矿井运动目标检测及跟踪方法[J].太原理工大学学报,2017,48(6):963-968,6.基金项目
国家自然科学基金资助项目(U1510112) （U1510112）
山西省科技重大专项(20131101029),山西省凌志达煤业有限公司科技攻关项目 （20131101029）
