Researsh on the mine locomotive positioning tracking system base on OpenCV
首发时间:2011-06-15
Abstract:Aimed at the location tracking of locomotives for underground, The main applications of the OpenCV Tracking blobtrack operational framework for the tracking of underground miner's lamp count,to determine the location of locomotive.Based on the underground light on the particular environment, and the case of camera movement, OpenCV provides three detection algorithms are not applicable to it.To this end,adding a custom foreground detection module,using the background subtraction, based on the adjacent frame difference method supplemented by background modeling.Through the use of the dual fixed threshold method,has been got a very good segmenttation results.Then under the Blobtrack module framework,to achieve the rapid and accurate location tracking locomotive effect.
keywords: OpenCV BlobTrack background subtraction temporal difference double fixed threshold method Location tracking
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基于OpenCV矿井机车定位跟踪系统的研究
摘要:针对井下机车的定位跟踪,主要应用了OpenCV中的Blobtrack运动目标跟踪的运行框架对井下矿灯进行了跟踪计数,从而确定机车位置。基于井下的特殊的光线环境,以及摄像头运动的情况下,OpenCV所提供的三种前景检测算法均不适用。为此,添加了自定义的前景模块,采用以背景差分法为基础,相邻帧差法为补充的方法进行背景建模。通过采用双固定阈值法,得到了效果很好的分割效果。然后在Blobtrack模块框架下,实现了快速准确的机车定位跟踪效果。
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