摘要
人体运动的跟踪与分析在图像处理和计算机视觉领域引起了很多学者的关注,但是目前大多数学者只对单人进行跟踪。针对这一点,提出一种多人跟踪的有效方法。在人体模型的基础上,利用apar条形识别人体的部位,并利用具有刚体性质的躯干对不同人体进行确定,最后采用区域匹配和特征点匹配完成多人的跟踪,并且很好的解决了遮挡问题。
In the fields of image processing and computer vision, the research on human motion analysis and tracking is attracting many researchers. So far, most of them only track single-human motion, so this paper (presents) a valid method that solves multi-human tracking. Based on human model, the paper recognizes human parts by apars and confirms different human bodies by using of the character of rigid body, and then solves multi-human tracking by area matching and special points matching, deals with the shelter problem finally.
出处
《信息技术》
2004年第10期3-6,28,共5页
Information Technology
基金
中科院前沿领域项目
国家自然科学基金重大项目(79816101)。
