Human action recognition using multi-layer codebooks of key poses and atomic motions
作者：
Highlights：
• Human actions are modeled by a sequence of key poses and atomic motions.
• Normalized relative orientations are computed as features for each limb.
• Feature sequences are segmented into pose and motion feature segments dynamically.
• Multi-layer codebooks which constructed with extracted key poses and atomic motions.
• A pattern-matching method is proposed and integrated with traditional classifiers.
摘要
•Human actions are modeled by a sequence of key poses and atomic motions.•Normalized relative orientations are computed as features for each limb.•Feature sequences are segmented into pose and motion feature segments dynamically.•Multi-layer codebooks which constructed with extracted key poses and atomic motions.•A pattern-matching method is proposed and integrated with traditional classifiers.
论文关键词：Human action recognition,Key pose,Atomic motion,Multi-layer codebook
论文评审过程：Received 29 August 2015, Revised 11 January 2016, Accepted 11 January 2016, Available online 18 January 2016, Version of Record 5 February 2016.
论文官网地址：https://doi.org/10.1016/j.image.2016.01.003
