摘要
在计算机视觉领域，人体运动分析的研究正因其广泛的应用前景而越来越受到研究者的重视．对图像序列中的人体运动进行跟踪是其中的关键技术．由于人体运动的特殊复杂性，已有的研究方法都对人体加上了许多限制条件．文中提出了一种新的方法来进行人体运动跟踪．该方法不针对特定人体运动方式，能对复杂、变化背景中的人体各部位的大幅度运动进行跟踪．其基本思想是在建立人体模型的基础上，按自上而下的顺序依次跟踪人体各部分，并在其中采用了基于图像差分的运动预测和分区域直方图相似度算法．
In the field of computer vision, the research on human motion analysis is attracting many researchers' attention with its wide application prospect. The key technical issue is the human motion tracking in the image sequence. Because of the complexity of human motion, the existing research methods impose limitation on human. A new approach to track the human motion is brought forward in this paper. Instead of aiming at a given human motion mode, it can track large motion from frame to frame in a complex, variational background. The main scheme is to track every part of human body from top to bottom on the basis of human model. The image\|difference\|based motion estimation and the divided region histogram similarity algorithm are used. The final result is given at the end of the paper.
出处
《计算机研究与发展》
EI
CSCD
北大核心
1999年第10期1268-1273,共6页
Journal of Computer Research and Development
基金
国家自然科学基金
