CAJ | 학술논문

提出了一种基于关键帧的人体行为识别方法。利用关于弧长的方向函数对人体形状进行描述以及通过形状空间中两点间的测地线距离对形状间的相似性进行度量，提取视频序列中的关键帧，通过模板匹配的方法实现对行为的识别。对CASIA单人行为数据库和Weismann数据库进行测试，实验结果表明该方法具有较高的识别率。
제출료일충기우관건정적인체행위식별방법。이용관우호장적방향함수대인체형상진행묘술이급통과형상공간중량점간적측지선거리대형상간적상사성진행도량，제취시빈서렬중적관건정，통과모판필배적방법실현대행위적식별。대CASIA단인행위수거고화Weismann수거고진행측시，실험결과표명해방법구유교고적식별솔。
This paper addresses an approach which uses the direction function on the arc length to describe the body shape and the geodesic distance between any two points in the shape spaces to measure the similarity of shapes. It extracts key frames in the video sequence and recognizes the human action based on the template matching approach. The experimental results on the CASIA single behavior database and the Weismann database show that the method has a high recognition rate.