Representation for action recognition with motion vector termed as: SDQIO
作者：
Highlights：
• We have performed human action recognition termed SDQIO.
• SDQIO's has been proven to minimize spatial and temporal redundancy in trajectory.
• SDQIO composed: Steered, diversion, quadrangular, intricacy, obscurity features(s)
• SDQIO's proposed action descriptor is minimal but successful.
• Extensive experiments on six standard human action recognition video datasets.
摘要
•We have performed human action recognition termed SDQIO.•SDQIO's has been proven to minimize spatial and temporal redundancy in trajectory.•SDQIO composed: Steered, diversion, quadrangular, intricacy, obscurity features(s)•SDQIO's proposed action descriptor is minimal but successful.•Extensive experiments on six standard human action recognition video datasets.
论文关键词：Human action recognition,Surveillance systems,Motion image,Action encoding,Spatiotemporal features
论文评审过程：Received 15 February 2022, Revised 30 July 2022, Accepted 3 August 2022, Available online 11 August 2022, Version of Record 7 September 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.118406
