关键词: 图像序列 人体运动 运动预测 匹配 腿部骨架

Abstract:

In recent years,the interest in human motion analysis has increased rapidly, due mostly to the large number of potential applications for this technol ogy. With regard to the human motion tracking in monocular video sequences,manual intervention is often required in current methods,either attatching ma rkers to the moving bodies,or marking the feature points manually in the initial frames.To solve this problem, this paper presents a simple but effective method for automatically extracting human leg skeletons,without any manual intervention. Furthermore,we track the leg skeleton by circle intersection  pointing and the ankle motion prediction based on motion modeling and retangular region matching according to its colour,by which the problem of self-oc clusion can be solved effectively.The final part of the paper lists the experemental results.

Key words: video sequences;human moton;motion prediction;matching;leg skeleton