Tracking an Object over 200 FPS with the Fusion of Prior Probability and Kalman Filter.
Jun ChenJin-Hui ZhaoWei ZhangYong LiuPublished in: ICMLC (2020)
Keyphrases
- kalman filter
- object tracking
- prior probabilities
- tracking framework
- kalman filtering
- particle filter
- robust tracking
- mean shift
- target tracking
- particle filtering
- moving objects
- video sequences
- computer vision
- posterior probability
- conditional probabilities
- image sequences
- state estimation
- appearance model
- visual tracking
- d objects
- multiple objects
- bayesian model
- prior information
- extended kalman filter
- partial occlusion
- higher order
- data association
- probabilistic model
- state space model
- posterior distribution
- multi sensor
- latent variables
- contextual information
- three dimensional