Multidimensional Particle Filter for Long-Term Visual Teach and Repeat in Changing Environments.
Zdenek RozsypálekTomás RoucekTomás VintrTomás KrajníkPublished in: IEEE Robotics Autom. Lett. (2023)
Keyphrases
- particle filter
- changing environment
- long term
- particle filtering
- visual tracking
- object tracking
- dynamic environments
- monte carlo
- state estimation
- appearance model
- robust visual tracking
- autonomous agents
- state space
- likelihood function
- kalman filter
- multiple hypotheses
- motion model
- sequential monte carlo
- rao blackwellized particle filter
- importance sampling
- target tracking
- robust tracking
- face tracking
- observation model
- mean shift
- multiple hypothesis
- multiple object tracking
- simultaneous localization and mapping
- articulated body
- moving object tracking
- real time
- data association
- video sequences
- abrupt motion
- markov chain monte carlo
- extended kalman filter
- tracking framework
- multi agent