Human action recognition based on skeleton splitting
作者：
Highlights：
• We present a novel human action recognition technique.
• We use segmented human body parts’ eigenvalues and eigenvectors, derived using diffusion tensor fields.
• With a multiple kernel SVM-approach this yields an efficient and effective human action recognition system.
• Experiments on publicly available data sets show better recognition.
摘要
•We present a novel human action recognition technique.•We use segmented human body parts’ eigenvalues and eigenvectors, derived using diffusion tensor fields.•With a multiple kernel SVM-approach this yields an efficient and effective human action recognition system.•Experiments on publicly available data sets show better recognition.
论文关键词：Human action recognition,Diffusion tensor fields,Skeleton
论文评审过程：Available online 25 June 2013.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.06.024
