摘要
针对背景动态变化的场景,提出了一种基于全方位视觉的运动目标检测跟踪方法。通过目标在HSV颜色空间中的H值、目标间的欧氏距离和目标相交面积等特征融合,提高目标跟踪的鲁棒性。实验表明,所设计的方法能实现实时准确的运动目标检测与跟踪。
Aiming at the scene of dynamic changes of background,a novel method of moving objects detection and tracing based on omni directional vision is presented in this paper. Robusticity of tracing objects is improved by the fusion of the value of hue in HSV color space, the Euclidean distance between objects and the intersection area. The experiment results testify that the method is practicable and accurate in real-time detection and moving objects tracing.
作者
程磊
CHENG Lei (Department of Electronic Science and Engineering,Huanghuai University,Zhumadian 463000,China)
出处
《电脑知识与技术》
2010年第3期1684-1685,1688,共3页
Computer Knowledge and Technology
关键词
目标检测跟踪
形态学算子
背景干扰
detection and tracing of objects
morphologic operators
intruders