Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization.
Huseyin CoskunFelix AchillesRobert S. DiPietroNassir NavabFederico TombariPublished in: ICCV (2017)
Keyphrases
- kalman filter
- recurrent neural networks
- long short term memory
- kalman filtering
- pose estimation
- object tracking
- particle filter
- mean shift
- state estimation
- d objects
- particle filtering
- regularization parameter
- robust tracking
- global motion
- rao blackwellized particle filter
- partial occlusion
- neural network
- feed forward
- network architecture
- artificial neural networks
- articulated objects
- action recognition
- data sets