Object tracking in videos using adaptive mixture models and active contours.
Mohand Saïd AlliliDjemel ZiouPublished in: Neurocomputing (2008)
Keyphrases
- object tracking
- active contours
- mixture model
- video sequences
- video surveillance
- gaussian mixture model
- level set
- object boundaries
- image segmentation
- em algorithm
- appearance model
- mean shift
- particle filter
- generative model
- computer vision
- image sequences
- probabilistic model
- expectation maximization
- segmentation method
- moving objects
- density estimation
- maximum likelihood
- unsupervised learning
- model selection
- video frames
- shape prior
- language model
- video objects
- video content
- signal processing
- probability density function
- sparse representation
- object appearance