79 search results - page 2 / 16 » Representability of human motions by factorial hidden Markov... |
ICIP
2004
IEEE
14 years 6 months ago
2004
IEEE
In this paper we propose and test an action recognition algorithm in which the images of the scene captured by a significant number of cameras are first used to generate a volumet...
CVIU
2004
13 years 5 months ago
2004
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...
CVPR
2004
IEEE
13 years 9 months ago
2004
IEEE
In this paper, we propose a generative model for representing complex motion, such as wavy river, dancing fire and dangling cloth. Our generative method consists of four component...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
ICCV
2003
IEEE
13 years 10 months ago
2003
IEEE
This paper presents a new method of detecting and predicting motion tracking failures with applications in human motion and gait analysis. We define a tracking failure as an event...