Tracking the 3D position and orientation of flying swarms with learned kinematic pattern using LSTM network.
Shuohong WangHai-Feng SuXi En ChengYe LiuAike QuoYan Qiu ChenPublished in: ICME (2017)
Keyphrases
- position and orientation
- inverse kinematics
- joint angles
- kinematic constraints
- vision system
- position estimation
- pose estimation
- unscented kalman filter
- camera pose
- inertial sensors
- degrees of freedom
- rotation angle
- end effector
- visual tracking
- hand pose
- appearance model
- recurrent neural networks
- coordinate frame
- real time
- object tracking
- human body
- robot arm
- target tracking
- mean shift
- particle filtering