摘要
为了实现超大范围的目标监控与测量,设计和分析了一种基于鱼眼镜头的超广角监测系统。以鱼眼镜头和CCD作为图像采集系统,以DSP作为控制和处理中心,采用自适应动态更新背景差方法进行目标识别,利用图像处理方法进行目标方位角测量,对前方半球空间中可能出现的目标进行监测。实验结果表明,基于鱼眼镜头的监控系统具有超大的监控视角,在各种环境下都具有较高的监控能力;基于动态更新背景的背景差目标识别方法具有较强的抗干扰性,能准确地识别出各种可能出现的目标,并能对其进行方位角测量。相对于传统的监控系统来说,具有监控范围大,结构简单,工作稳定可靠,在各种安全监控领域有着广泛的应用。
A novel object detection and survey system is designed based on the fish-eyes lens which has an ultra wide range.The fish-eye lens and CCD is used as the image gathering system,the high speed DSP is as the control and processing center.The system uses the algorithm of auto-adapted renewal background subtraction to pick-up the moving object from the image,and uses the algorithm of image processing to survey the azimuth.The experiment indicates that the system has high monitoring ability under each kind of en...
出处
《光学技术》
CAS
CSCD
北大核心
2009年第4期599-603,共5页
Optical Technique
