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ICIP
2007
IEEE
14 years 6 months ago
3D Human Motion Tracking using Manifold Learning
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
Feng Guo, Gang Qian
ECCV
2000
Springer
14 years 6 months ago
A Probabilistic Background Model for Tracking
A new probabilistic background model based on a Hidden Markov Model is presented. The hidden states of the model enable discrimination between foreground, background and shadow. Th...
Jens Rittscher, Jien Kato, Sébastien Joga, ...
CVPR
2006
IEEE
14 years 6 months ago
Scalable Monocular SLAM
Localization and mapping in unknown environments becomes more difficult as the complexity of the environment increases. With conventional techniques, the cost of maintaining estim...
Ethan Eade, Tom Drummond
CVPR
2004
IEEE
14 years 6 months ago
A Rao-Blackwellized Particle Filter for EigenTracking
Subspace representations have been a popular way to model appearance in computer vision. In Jepson and Black's influential paper on EigenTracking, they were successfully appl...
Zia Khan, Tucker R. Balch, Frank Dellaert