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作 者:许毓晓 XU Yuxiao(Nanning Normal University,Nanning 530023,China)
机构地区:[1]南宁师范大学,广西南宁530023
出 处:《现代电子技术》2020年第16期119-121,125,共4页Modern Electronics Technique
基 金:广西高校自然科学技术研究项目(KY2015YB533)。
摘 要:针对传统舞蹈动作步态轮廓识别方法识别率不高的问题,提出一种基于AVI视频的舞蹈动作步态轮廓动态识别方法。首先,提取AVI视频中的舞蹈步态轮廓目标,随机定格选取AVI视频中含有舞蹈动作的某帧,使用图像块标记矩阵计算选取的舞蹈动作,判断选取的视频图像是否为前景区,使用Camshift算法计算得到轮廓目标;然后,划分舞者的轮廓为11个步态轮廓点,建立轮廓步态周期计算公式,对舞蹈动作步态轮廓进行跟踪,采用轮廓线向纵轴中心线投影划分舞蹈动作步态,计算步态轮廓变化的距离,调用含有轮廓变化过程的Weizmann行为数据库,实现舞蹈动作步态轮廓的自动识别。实验结果表明,与传统识别方法相比,基于AVI视频的舞蹈动作步态轮廓动态识别方法识别率更高,更适合识别舞蹈动作步态轮廓。In allusion to the low recognition rate of the traditional dance movement gait contour recognition methods,a method of dance movement gait contour dynamic recognition based on AVI video is proposed.The dance gait contour object in AVI video is extracted,and some frame of dance movement in AVI video is selected in random freeze⁃frame.The image block marker matrix is used to calculate the selected dance movement and judge whether the selected video image is the front scenic spot.The contour object is obtained by means of the Camshift algorithm,and then the dancer′s contour is divided into 11 gait contour points to establish the contour gait cycle calculation formula.The dance movement gait contour is tracked,the dance movement gait is divided by means of projecting the contour line onto the vertical axis center line,the distance of gait contour change is calculated,and the Weizmann behavior database including the contour change process is called to realize the automatic recognition of dance action gait contour.The experimental results show that,in comparison with the traditional recognition method,the dance movement gait contour dynamic recognition based on AVI video has higher recognition rate and is more suitable for the recognition of dance movement gait contour.
关 键 词:舞蹈动作 步态轮廓识别 AVI视频 步态轮廓跟踪 舞蹈步态划分 动态距离计算
分 类 号:TN948.4-34[电子电信—信号与信息处理]
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