Distances evolution analysis for online and off-line human object interaction recognition

作者：

Highlights：

• We compare sequences independently of the rate of the execution.

• New feature describing the size and the shape of the object for online recognition

• New multi-view dataset for abnormal human object interaction

• Competitive results on ORGBD, MSR Daily 3D and the new dataset

摘要

•We compare sequences independently of the rate of the execution.•New feature describing the size and the shape of the object for online recognition•New multi-view dataset for abnormal human object interaction•Competitive results on ORGBD, MSR Daily 3D and the new dataset

论文关键词：Human object interaction,Rate invariance,Shape analysis,Temporal modeling

论文评审过程：Received 18 July 2016, Revised 20 September 2017, Accepted 8 December 2017, Available online 17 December 2017, Version of Record 29 December 2017.

论文官网地址：https://doi.org/10.1016/j.imavis.2017.12.003