Track, Check, Repeat: An EM Approach to Unsupervised Tracking.
Adam W. HarleyYiming ZuoJing WenAyush MangalShubhankar PotdarRitwick ChaudhryKaterina FragkiadakiPublished in: CoRR (2021)
Keyphrases
- real time tracking
- unsupervised learning
- tracking framework
- automatic tracking
- tracking objects
- tracking scheme
- object tracking
- multi target
- tracking multiple
- object recognition and tracking
- kalman filter
- particle filter
- semi supervised
- visual tracking
- multiple hypothesis tracking
- expectation maximization
- cluttered environments
- supervised learning
- appearance model
- tracking multiple objects
- real time
- robust tracking
- detecting and tracking multiple
- multi target tracking
- moving target
- particle filtering
- motion detection
- data driven
- mixture model
- probabilistic model
- hidden markov models
- expectation maximisation
- maximum likelihood
- image sequences
- generative model
- motion analysis
- occlusion reasoning
- active camera
- motion tracking
- video surveillance
- bayesian framework
- gaussian mixture model
- em algorithm
- bayesian networks
- image segmentation