Human Action Recognition With Video Data: Research and Evaluation Challenges

@article{Ramanathan2014HumanAR,
  title={Human Action Recognition With Video Data: Research and Evaluation Challenges},
  author={Manoj Ramanathan and Wei-Yun Yau and Eam Khwang Teoh},
  journal={IEEE Transactions on Human-Machine Systems},
  year={2014},
  volume={44},
  pages={650-663}
}
Given a video sequence, the task of action recognition is to identify the most similar action among the action sequences learned by the system. Such human action recognition is based on evidence gathered from videos. It has wide application including surveillance, video indexing, biometrics, telehealth, and human-computer interaction. Vision-based human action recognition is affected by several challenges due to view changes, occlusion, variation in execution rate, anthropometry, camera motion… CONTINUE READING
Highly Cited
This paper has 35 citations. REVIEW CITATIONS

3 Figures & Tables

Topics

Statistics

0102030201620172018
Citations per Year

Citation Velocity: 9

Averaging 9 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.