Combining object and feature dynamics in probabilistic tracking.
Leonid TaycherJohn W. Fisher IIITrevor DarrellPublished in: Comput. Vis. Image Underst. (2007)
Keyphrases
- object tracking
- deformable objects
- multiple objects
- target object
- object appearance
- appearance information
- rigid objects
- object position
- partial occlusion
- particle filter
- object features
- object detection and tracking
- bounding box
- articulated objects
- real time
- partially occluded
- dynamic model
- tracking framework
- complex objects
- visual tracking
- tracking objects
- kalman filter
- occlusion reasoning
- appearance model
- mean shift
- object matching
- object motion
- camera views
- image features
- moving objects
- bayesian networks
- feature correspondences
- articulated human motion
- cluttered background
- robust tracking
- object model
- uncertain data
- motion segmentation
- motion analysis
- lighting conditions
- keypoints
- d objects
- probabilistic model
- feature vectors
- object recognition
- video sequences
- image sequences