Multi-person Pose Tracking using Sequential Monte Carlo with Probabilistic Neural Pose Predictor.
Masashi OkadaShinji TakenakaTadahiro TaniguchiPublished in: CoRR (2019)
Keyphrases
- pose tracking
- sequential monte carlo
- robust tracking
- visual tracking
- particle filter
- pose parameters
- motion capture
- importance sampling
- sensor fusion
- pose estimation
- probabilistic model
- bayesian networks
- generative model
- posterior probability
- particle filtering
- posterior distribution
- kalman filter
- uncalibrated cameras
- conditional probabilities
- human motion
- body parts
- human body
- graphical models
- markov random field
- prior knowledge
- image sequences