Hand action detection from ego-centric depth sequences with error-correcting Hough transform

作者：

Highlights：

• An effective and efficient solution for hand action detection from mobile egocentric depth sequences.

• A novel error- correcting mechanism to tackle the bottleneck issue of incorrect votes from Hough transform.

• A comprehensive, in-house annotated ego-centric hand action dataset on which the proposed method is carefully evaluated.

• A deep learning baseline.

摘要

•An effective and efficient solution for hand action detection from mobile egocentric depth sequences.•A novel error- correcting mechanism to tackle the bottleneck issue of incorrect votes from Hough transform.•A comprehensive, in-house annotated ego-centric hand action dataset on which the proposed method is carefully evaluated.•A deep learning baseline.

论文关键词：Depth camera,Hand gesture,Action recognition,Action detection,Error-correcting Hough transform

论文评审过程：Received 12 December 2016, Revised 30 May 2017, Accepted 3 August 2017, Available online 4 August 2017, Version of Record 17 August 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.08.009