Human action understanding and recognition have various demands for different applications in the field of computer vision and human-machine interaction. Due to these issues, more than a decade, extensive researches are going on in this arena - to recognize various actions and activities. Researchers have been exploiting various action datasets and some of them become prominent. Though there are some good datasets, unfortunately, to have a strong survey on these datasets has been a long due. This paper attempts this and presents the key datasets and analyzes them in different perspectives. © 2011 SICE.
CITATION STYLE
Ahad, M. A. R., Tan, J., Kim, H., & Ishikawa, S. (2011). Action dataset - A survey. In Proceedings of the SICE Annual Conference (pp. 1650–1655). Society of Instrument and Control Engineers (SICE).
Mendeley helps you to discover research relevant for your work.