A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking.
Manuel StoiberMartin PfanneKlaus H. StroblRudolph TriebelAlin Albu-SchäfferPublished in: ACCV (2) (2020)
Keyphrases
- object tracking
- sparse representation
- video sequences
- particle filter
- appearance model
- mean shift
- image sequences
- video surveillance
- degrees of freedom
- moving objects
- kalman filter
- scene segmentation
- partial occlusion
- computer vision
- high dimensional
- multiple object tracking
- appearance modeling
- video surveillance systems
- robust object tracking
- image segmentation
- particle filtering
- visual tracking
- multiple cameras
- tracking accuracy
- tracking objects
- robust tracking
- multi camera
- tracked objects
- visual object tracking
- pose estimation
- image classification
- image retrieval
- face recognition
- density function
- gaussian distribution
- gaussian mixture model
- object detection
- pattern recognition
- image processing