A novel object tracking method based on a mixture model.
Dongxu GaoZhaojie JuJiangtao CaoHonghai LiuPublished in: Int. J. Intell. Robotics Appl. (2018)
Keyphrases
- mixture model
- object tracking
- em algorithm
- probabilistic model
- unsupervised learning
- kalman filter
- gaussian mixture model
- appearance model
- visual tracking
- particle filter
- dynamic programming
- density estimation
- particle filtering
- information retrieval
- robust object tracking
- multi camera
- appearance modeling
- data sets
- model selection
- maximum likelihood
- language model
- k means
- moving objects
- pairwise
- video sequences
- image sequences