Combining Object and Feature Dynamics in Probabilistic Tracking.
Leonid TaycherJohn W. Fisher IIITrevor DarrellPublished in: CVPR (2) (2005)
Keyphrases
- object tracking
- deformable objects
- object position
- multiple objects
- target object
- object features
- object appearance
- real time
- articulated objects
- tracking objects
- tracking accuracy
- bayesian networks
- moving objects
- partial occlusion
- complex objects
- probabilistic model
- image features
- rigid objects
- particle filter
- camera views
- visual tracking
- video surveillance
- generative model
- d objects
- cluttered background
- object detection and tracking
- computer vision
- bounding box
- mean shift
- image segmentation
- image sequences
- object location
- object matching
- tracking framework
- kalman filter
- partially occluded
- appearance model
- robust tracking
- motion analysis
- feature set
- feature vectors
- appearance information
- uncertain data
- dynamical model
- tracking error
- dynamic model
- particle filtering