Semantic cues enhanced multimodality multistream CNN for action recognition

• Main Authors: Tu, Zhigang, Xie, Wei, Dauwels, Justin, Li, Baoxin, Yuan, Junsong
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Action Recognition; Multi-stream CNN
• Online Access: https://hdl.handle.net/10356/142212
• Institution: Nanyang Technological University

This paper addresses the issue of video-based action recognition by exploiting an advanced multistream convolutional neural network (CNN) to fully use semantics-derived multiple modalities in both spatial (appearance) and temporal (motion) domains, since the performance of the CNN-based action recog...