Dynamic resource allocation for probabilistic tracking via attentive sensing and sampling.
Oswald LanzTao HuPublished in: AVSS (2011)
Keyphrases
- dynamic resource allocation
- sequential monte carlo
- sensor fusion
- spatial and temporal resolution
- real time
- particle filter
- resource allocation
- articulated object tracking
- bayesian networks
- probabilistic model
- generative model
- sensor networks
- visual attention
- data acquisition
- likelihood model
- behavior recognition
- motion tracking
- motion analysis
- appearance model
- kalman filter
- markov chain monte carlo
- moving target
- sampling algorithm
- object tracking
- feature tracking
- particle filtering
- monte carlo
- allocation policies
- motion model