Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition

作者：

Highlights：

• We design the trajectorylet that captures the static and dynamic pose information withina short interval.

• We obtain discriminative patterns of action instances by encoding each trajectorylet using a discriminative trajectorylet detector set.

• This method generalizes well to different parameter settings and datasets.

摘要

Highlights•We design the trajectorylet that captures the static and dynamic pose information withina short interval.•We obtain discriminative patterns of action instances by encoding each trajectorylet using a discriminative trajectorylet detector set.•This method generalizes well to different parameter settings and datasets.

论文关键词：Action recognition,Kinect,Motion capture,Feature learning,Exemplar-SVM

论文评审过程：Received 14 February 2016, Revised 23 June 2016, Accepted 9 January 2017, Available online 12 January 2017, Version of Record 12 March 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.01.015