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A review on Vision-based Human Action Recognition
  • +1
  • Ping Li,
  • Dheeraj Singh,
  • Abhinav Gupta,
  • Boyi Chan
Ping Li

Corresponding Author:f20150379h@alumni.bits-pilani.ac.in

Author Profile
Dheeraj Singh
Carnegie Mellon University
Abhinav Gupta
Boyi Chan
Carnegie Mellon University


Vision-based human action recognition is the process of labeling image sequences with action labels. Robust solutions to this problem have applications in domains such as visual surveillance, video retrieval and human-computer interaction. The task is challenging due to variations in motion performance, recording settings and inter-personal differences. In this survey, we explicitly address these challenges. We provide a detailed overview of current advances in the field. Image representations and the subsequent classification process are discussed separately to focus on the novelties of recent research. Moreover, we discuss limitations of the state of the art and outline promising directions of research.