NRST: Non-rigid Surface Tracking from Monocular Video.
Marc HabermannWeipeng XuHelge RhodinMichael ZollhöferGerard Pons-MollChristian TheobaltPublished in: GCPR (2018)
Keyphrases
- articulated human motion
- model based tracking
- face detection and tracking
- object segmentation and tracking
- real time
- motion capture
- video images
- image sequences
- person detection
- human motion
- motion model
- video surveillance
- video sequences
- surveillance videos
- human body tracking
- video frames
- video data
- object detection and tracking
- motion analysis
- visual tracking
- pose estimation
- low frame rate
- monocular images
- video dataset
- temporal continuity
- image frames
- moving camera
- objects in video sequences
- object tracking
- kalman filter
- pose recovery
- video content
- input video
- multimedia
- particle filter
- visual slam
- video streams
- pose tracking
- human detection
- crowded scenes
- visual data
- optical flow
- stationary camera
- space time
- object motion
- robust tracking
- moving objects
- kalman filtering
- human pose
- video analysis
- video scene
- particle filtering
- successive frames
- text detection
- motion segmentation