CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
We introduce a discriminative hidden-state approach for the recognition of human gestures. Gesture sequences often have a complex underlying structure, and models that can incorpo...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
This paper addresses the problem of learning and recognizing human activities of daily living (ADL), which is an important research issue in building a pervasive and smart environ...
CVPR
2003
IEEE
14 years 7 months ago
2003
IEEE
The recognition of activities from sensory data is important in advanced surveillance systems to enable prediction of high-level goals and intentions of the target under surveilla...
CVPR
1999
IEEE
14 years 7 months ago
1999
IEEE
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
CVPR
1998
IEEE
14 years 7 months ago
1998
IEEE
In previous work [14], we modify the hidden Markov model (HMM) framework to incorporate a global parametric variation in the output probabilities of the states of the HMM. Develop...