山东大学学报 (工学版) ›› 2023, Vol. 53 ›› Issue (2): 42-50.doi: 10.6040/j.issn.1672-3961.0.2022.131
于艺旋,杨耕*,耿华
YU Yixuan, YANG Geng*, GENG Hua
摘要： 针对连续复合运动的关键帧对应的空间范围差异较大且存在重复,难以采用固定的空间特征标准提取的问题,提出一种基于多模态分段与聚类的层次化关键帧提取方法。在完整运动层面按照背景音乐节拍与时空信息等多模态信息将运动序列分割为多个片段;对各片段内部的帧进行空间特征聚类与时序分割,得到若干具有代表性的、姿势可能重复的候选关键帧;根据运动的时空特性消除冗余。以广播体操运动为例提取关键帧并与现有方法进行对比试验与分析,本研究方法能够更加准确、充分地提取运动的关键帧。
中图分类号:
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