260 search results - page 1 / 52 » Unsupervised Learning of Human Motion Models |
NIPS
2001
13 years 6 months ago
2001
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
ACCV
2009
Springer
13 years 11 months ago
2009
Springer
The method based on local features has an advantage that the important local motion feature is represented as bag-of-features, but lacks the location information. Additionally, in ...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Abstract. Humans demonstrate a remarkable ability to parse complicated motion sequences into their constituent structures and motions. We investigate this problem, attempting to le...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...