Gaussian Mixture-based Mean Shift for Tracking under Abrupt Illumination Changes.
Vasileios KaravasilisChristophoros NikouAristidis LikasPublished in: IIH-MSP (2012)
Keyphrases
- mean shift
- gaussian mixture
- partial occlusion
- object tracking
- particle filter
- visual tracking
- particle filtering
- closed form
- probability density function
- gaussian mixture model
- em algorithm
- target tracking
- graph cuts
- expectation maximization
- feature space
- mode seeking
- visual object tracking
- covariance matrix
- density function
- probability density
- robust tracking
- density estimation
- mixture model
- bhattacharyya coefficient
- color histogram
- mixture of gaussians
- generative model
- maximum likelihood
- object recognition
- computer vision