摘要
改进人体行为识别传统模板匹配方法的算法,提出一种基于运动矢量分析动作识别技术,并对其识别效果进行实验验证。该技术把标准人体动作的百分比运动矢量作为模板,将待识别动作的百分比运动矢量与已知的模板进行对比,从而得到动作识别结果。该技术可以正确识别摆头、点头和摇头动作,动作重复3次的识别率可以达到95%以上。该技术进行实时动作识别具有效果好、算法简单、识别速度快、抗干扰性强等优点。
A technology of the motion-recognition based on motion vector analysis was proposed by improving the algorithms of human behavior recognition of traditional methods of template matching. The recognition effect of this technology was verified by experiments. The technology uses the percentage of vector of standards body motion as a template. Recognition action will be to identify by comparing the percentage of vector and the known template. The technology can correctly recognize shaking head, shaking head and nod. If recognition action can be repeated three times,the recognition rate of this action will be more than 95 percent. During conduting real time action, the advantages of this technology is effective identification, simple algorithm, fast recognition and strong anti-jamming.
出处
《广西科学院学报》
2008年第3期256-259,共4页
Journal of Guangxi Academy of Sciences
关键词
动作
识别
矢量
分析
action recognition, vector, analysis
