Real-Time Occlusion-Robust Deformable Linear Object Tracking With Model-Based Gaussian Mixture Model.
Taohan WangYuji YamakawaPublished in: Frontiers Neurorobotics (2022)
Keyphrases
- object tracking
- gaussian mixture model
- partial occlusion
- illumination variations
- occlusion handling
- mean shift
- mixture model
- particle filter
- image sequences
- robust tracking
- video sequences
- appearance model
- computer vision
- moving objects
- tracking objects
- object tracking algorithm
- video surveillance
- maximum likelihood
- visual tracking
- background subtraction
- motion detection
- feature vectors
- em algorithm
- expectation maximization
- particle filtering
- sparse representation
- object class
- feature space
- gaussian mixture
- multi camera
- feature selection
- object appearance
- background modeling
- mixture of gaussians
- multiple cameras
- moving target
- pairwise
- background model
- face recognition