Pearson-based mixture model for color object tracking.
William KetchantangStéphane DerrodeLionel MartinSalah BourennanePublished in: Mach. Vis. Appl. (2008)
Keyphrases
- mixture model
- object tracking
- particle filter
- gaussian mixture model
- em algorithm
- video sequences
- image sequences
- probabilistic model
- generative model
- computer vision
- mean shift
- video surveillance
- density estimation
- expectation maximization
- model selection
- partial occlusion
- sparse representation
- appearance model
- moving objects
- visual tracking
- language model
- maximum likelihood
- unsupervised learning
- color histogram
- particle filtering
- consistent labeling
- machine learning
- probability density function
- multiscale
- feature vectors
- multi camera
- gaussian mixture
- probabilistic mixture model