Particle Filters in Latent Space for Robust Deformable Linear Object Tracking.
Yuxuan YangJohannes A. StorkTodor StoyanovPublished in: IEEE Robotics Autom. Lett. (2022)
Keyphrases
- object tracking
- particle filter
- robust tracking
- partial occlusion
- object tracking algorithm
- latent space
- visual tracking
- tracking framework
- particle filtering
- multiple object tracking
- kalman filter
- mean shift
- motion model
- appearance model
- image sequences
- video sequences
- data association
- bayesian filtering
- computer vision
- state space
- multiple cameras
- appearance modeling
- latent variables
- moving objects
- low dimensional
- multi camera
- gaussian process
- multiple objects
- data analysis
- object location
- pattern recognition
- machine learning
- color histogram
- feature space
- generative model
- closed form