【摘要】 针对运动目标检测中阴影的存在会导致目标形状扭曲、多个目标之间出现粘连等问题,提出一种基于视频图像的阴影去除方法。该方法在分析阴影产生机理的基础上,根据各像素点YUV空间上的像素模型,计算出带有阴影的目标相对于背景的失真系数,再根据设定的阈值区分出目标的实际轮廓和阴影区域,从而将目标阴影去除。实验结果表明,该方法能够快速检测和去除目标阴影,准确反映出目标的实际轮廓,并能够有效解决目标粘连问题。更多还原

【Abstract】 In the course of moving object detection, the shadow of objects may arise many problems, such as the distortion of the object shape, the adjacency between different objects and so on. To cope with these problems, a fast shadow removal method based on video image is proposed. By the computing model based on YUV color space, the distortion coefficient between moving object and background can be obtained, and then the shadow can be removed by this value. Finally, experimental results show that the method for shadow removal can detect the shadow and separate several joined objects correctly.更多还原