摘要
介绍和分析了云模型、运动目标初定位和HSV色彩空间等相关内容.提出了基于HSV色彩空间的云模型车辆阴影检测方法.在HSV空间下,于不同光照下在具有代表性的阴影区域采样,用正态云逆向发生器建立云模型,利用云模型进行阴影检测.和其他方法相比,实验结果证明了本文方法的有效性.
This paper introduced cloud model, moving object＇ s location, and HSV color space. A method of vehicle shadow detection based on HSV color space and cloud model is presented. The shadow areas is sampled under several different kinds of illumination to construct several cloud models based on HSV color space by Gaussian obverse generator of cloud model to detect the shadow. Comparing the results of this method and others shows that the methods based on cloud model and HSV space are effective.
出处
《福州大学学报（自然科学版）》
CAS
CSCD
北大核心
2008年第6期809-813,共5页
Journal of Fuzhou University(Natural Science Edition)
基金
福建省自然科学基金资助项目(A0510010
A0710008)
国家自然科学基金资助项目(60675058)
