A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Recognition and re-synthesis of 3D human motion with personalized variations
2009
2009 International Conference on Multimedia Computing and Systems
This paper proposes a 3D view-invariant human action recognition method based on Hidden Markov Models. The natures of the actions, as well as the characteristics of the actors and different performance styles have been successfully recognized. The results have been compared to Nearest Neighbor and Similarity Search based recognition for further evaluation. Also the research addresses the problem of re-synthesis of motion. Transformation of moods, genders, and other characteristics of the actor
doi:10.1109/mmcs.2009.5256719
fatcat:udsmigy2xngrbaqx222d7tyfra