Action Recognition

Action recognition is a field in computer vision that focuses on understanding and categorizing human actions or activities from video data. It involves developing algorithms and models that can automatically recognize and classify different types of actions, such as walking, running, jumping, or specific sports movements. This technology has various applications, including surveillance systems, human-computer interaction, sports analytics, and video-based activity monitoring. By analyzing motion patterns and temporal information in videos, action recognition algorithms aim to provide valuable insights into human behavior and enable intelligent video analysis in diverse domains.
  • Papers from the EMRG
  • 1 Yu Zhou Zhuodi Yang Xiao Zhang Yufan Wang
    A Hybrid Attention-Based Deep Neural Network for Simultaneous Multi-Sensor Pruning and Human Activity Recognition.
    IEEE Transactions on Emerging Topics in Computational Intelligence ( TETCI ) Link Code
    2 Yu Zhou Chuanshi Xie
    Self-Superised Human Activty Recogiton Aproach via Body Sensor Networks in mart City.
    IEEE Sensors Journal(JSEN ) Link Code