Video Based Action Recognition Using Spatial and Temporal Feature

• Published in: 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) pp. 635 - 638
• Main Authors: Dai, Cheng, Liu, Xingang, Zhong, Luhao, Yu, Tao
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2018
• Subjects: Blockchain; Deep learning; Green computing; human action recognition; Information technology; Internet of Things; Rail to rail outputs; Social computing; spatial feature; temporal feature

The recognition of actions from video sequences has many applications such as monitoring, assisted living, surveillance, and smart homes. Despite advances in deep learning method, the methodologies to process the video data are still subject to research for that temporal information extraction is st...