基于姿势特征编码的运动数据分层检索  

Motion Data Hierarchical Retrieval Based on Pose Feature Coding

作　　者：聂永丹[1] 赵丹 郜立国 NIE Yongdan ZHAO Dan GAO Liguo(School of Computer and Information Technology, Northeast Petroleum University, Daqing 163318, China Technical Supervision Center, Daqing Oil Field, Daqing 163453, China Oilfield Construction Company of Daqing Oilfied Engineering Construction Corporation, Daqing 163712, China)

机构地区：[1]东北石油大学计算机与信息技术学院,黑龙江大庆163318 [2]大庆油田技术监督中心,黑龙江大庆163453 [3]大庆油田工程建设有限公司,黑龙江大庆163712

出　　处：《吉林大学学报（信息科学版）》2017年第4期410-417,共8页Journal of Jilin University（Information Science Edition）

基　　金：东北石油大学青年基金资助项目(NEPUQN2014-20);黑龙江省研究生教育创新工程基金资助项目(JGXM-HLJ-2015111);黑龙江省教育科学规划重点课题基金资助项目(GJB1215019)

摘　　要：运动数据检索是为在已有的运动数据库中检索符合要求的数据进行重用和编辑,基于姿势特征编码的分层检索方式能提高检索速度和检索质量。通过对运动骨骼分段,提取能反应几何运动关系的骨骼分段夹角作为特征向量,对姿势特征进行编码,建立基于运动特征的数据库索引,并在检索过程中分别从运动特征、数据索引和运动数值进行相似度比较。实验结果表明,在具有走、跑、舞等姿态的运动数据库中,该方法相对于其他方法具有较高的检索速度,并得到满意的检索结果,实现了运动逻辑相似性的有效检索。Motion data retrieval is used to get the proper data from the existing motion database for motion editing and reusing, the hierarchical retrieval based on posture feature coding improves the retrieval speed and quality. We divide major bone into nine segments, and the angles of these bone segments can response geometric relations of motion posture, can used as feature vectors, encode posture features, create database index based on the motion features, in the retrieval process, carry out the similarity comparison from motion feature, data index and motion data value. The experimental results shows, in the motion database that contains walk, run and dance postures, compared with the other method, the method has high retrieval speed and satisfactory retrieval results, and realize the effectively retrieve of the logical similarity motion data.

关 键 词：运动数据 运动检索 姿势特征编码 分层检索 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]