Motion Key frame Extraction Based on Grey Wolf Optimization Algorithm

摘要：

　　In order to extract the key frames more effectively,we propose a key frame extraction method for human motion sequences based on Grey Wolf Optimization(GWO)algorithm.The fitness function is defined with the minimum reconstruction error and the optimal compression rate.The social hierarchy of grey wolves and hunting strategy are simulated to search key frames.Experimental results show that the proposed method can not only maintain the consistency of key frames between similar human motion sequences,but also effectively compress and summarize the original motion data.Under the same compression ratio,the reconstruction error is the minimum.

作者: Yi Zhang Juan Li Min Zhang

作者单位: College of Information Engineering,Dalian University,Dalian Liaoning116622,China

会议类型: 国际会议

会议名称: 2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)(2018第二届电子信息技术与计算机工程国际会议)(EITCE2018)

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2018-10-12（万方平台首次上网日期，不代表论文的发表时间）