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作 者:刘猛猛[1] LIU Mengmeng(Zunyi Normal University,Zunyi 563000,China)
机构地区:[1]遵义师范学院,贵州遵义563000
出 处:《现代电子技术》2018年第8期171-173,179,共4页Modern Electronics Technique
基 金:国家自然科学基金(61562094)~~
摘 要:针对传统的武术套路分解过程中动作分解模式识别时,存在动作无法连续识别缺少细节特征的问题,提出武术套路动作分解过程中,使用NRe J3D技术对模式识别方法进行优化。通过分析识别结构框架,引入NRe J3D技术对人体细节特征进行采集,通过嵌入映射分析为模式匹配程度分析提供依据,利用低维运动空间实现模式匹配识别,实现模式识别方法的优化。通过实验结果表明,改进识别方法能对连续动作进行高清晰度识别,细节特征提取较多,具有一定优势。In allusion to the problems that the continuous actions cannot be recognized and it lacks detail features in the tra-ditional pattern recognition of action decomposition during the decomposition process of Wushu routines,the idea of using NReJ3D technology to optimize the pattern recognition method during the action decomposition process of Wushu routines is pro-posed.NReJ3D technology is introduced to collect the detail features of human body by analyzing and recognizing structure framework.Map analysis is embedded to provide the basis for analysis of pattern matching degree.Low dimensional motion space is used to realize the pattern matching recognition and optimization of pattern recognition method.The experimental results show that the improved recognition method can recognize the continuous actions with high resolution and extract more detail features,which has certain advantages.
关 键 词:武术套路 动作分解 模式识别 细节特征 特征采集 低维运动空间
分 类 号:TN911-34[电子电信—通信与信息系统] TP393[电子电信—信息与通信工程]
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