金属矿山 ›› 2012, Vol. 41 ›› Issue (02): 121-123+131.
• 机电与自动化 • 上一篇 下一篇
姚惠林,张松兰,鄂以帅
出版日期:
发布日期:
Yao Huilin,Zhang Songlan,E Yishuai
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摘要: 具有视觉识别功能的矿山监控系统在不需要人为干预情况下,利用计算机视觉分析的方法对摄像机拍录的图像序列进行自动分析,实现对动态场景中目标的定位、识别和监控,并在此基础上对目标进行分析和判断,从而既能完成对日常运输监控又能在突发事件中及时做出处理,适应当今社会发展的需求。
关键词: 矿山监控, FPGA, 二值化, 大津方法
Abstract: In case that the mine monitoring system with function of visual recognition does not require human intervention,the computer vision analysis method is utilized to make automatic analysis on the image sequences of camera recording and to achieve the positioning,identification and monitoring of dynamic scenes.On this basis,the targets are analyzed and judged,which can both monitor the daily transportation and treat the emergencies in time.It can meet the requirement of the social development today.
Key words: Mine monitoring, FPGA, Binaryzation, Otsu method
姚惠林, 张松兰, 鄂以帅. 视觉识别在金属矿山运输的运用[J]. 金属矿山, 2012, 41(02): 121-123+131.
YAO Hui-Lin, ZHANG Song-Lan, E Yi-Shuai. Application of Visual Identification in Transportation of Metal Mines[J]. Metal Mine, 2012, 41(02): 121-123+131.
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