A closed-loop approach for tracking a humanoid robot using particle filtering and depth data.
Pablo Arturo MartínezXiao LinMario CastelánJosep R. CasasGustavo ArechavaletaPublished in: Intell. Serv. Robotics (2017)
Keyphrases
- particle filtering
- closed loop
- humanoid robot
- depth data
- human motion
- particle filter
- visual tracking
- control system
- control scheme
- depth information
- motion planning
- control law
- object tracking
- motion capture
- pose estimation
- multi modal
- human body
- depth map
- appearance model
- mean shift
- kalman filter
- tracking framework
- video sequences
- gesture recognition
- color information
- pid controller
- depth images
- background subtraction
- camera views
- state space
- motion model
- target tracking
- computer vision
- spatio temporal
- high dimensional
- image processing