摘要
针对计算机视觉处理系统中,阴影会严重影响到对目标的跟踪、识别和图像场景的理解的问题,提出了一种基于YUV色彩空间的阴影检测方法并给出了与不同色彩空间的实验对比结果.该算法将分割出的运动目标与背景在亮度和色度进行对比,从而区分出运动目标和运动阴影.实验证明,与其他的阴影检测的算法相比,该方法具有更高的准确性和更快的检测速度.
In computer vision system,the shadow greatly affects the tracking of targets,identification and understanding.Aimed at this problem,a shadow detection method based on YUV color space is proposed,and the comparison results of experiments with different color space are presented.The algorithm compares the segmented movement object with background in brightness and color,thus distinguishing moving targets from moving shadows.Experimental results show that this method has higher accuracy and faster detection speed compared with other shadow detection and algorithms.
出处
《邵阳学院学报（自然科学版）》
2010年第4期17-21,共5页
Journal of Shaoyang University：Natural Science Edition
