Boosting particle filter-based eye tracker performance through adapted likelihood function to reflexions and light changes.
Dan Witzner HansenRiad I. HammoudPublished in: AVSS (2005)
Keyphrases
- likelihood function
- eye tracker
- particle filter
- eye tracking
- eye movements
- maximum likelihood
- head mounted
- object tracking
- em algorithm
- visual search
- gaze estimation
- eye gaze
- eye movement analysis
- posterior probability
- human computer interaction
- model selection
- parameter space
- gaussian process
- state space
- learning algorithm
- generative model
- eye tracking technology
- visual attention
- expectation maximization
- mean shift
- mixture model
- face recognition
- image processing