Model-Based Vehicle Pose Estimation and Tracking in Videos Using Random Forests.
Michael HödlmoserBranislav MicusíkMarc PollefeysMing-Yu LiuMartin KampelPublished in: 3DV (2013)
Keyphrases
- random forests
- pose estimation
- head pose estimation
- tracking and pose estimation
- human body
- human pose
- pedestrian detection
- depth images
- random forest
- monocular images
- pose estimates
- decision trees
- logistic regression
- d objects
- human pose estimation
- ensemble methods
- machine learning algorithms
- articulated model
- computer vision
- video surveillance
- human detection
- body parts
- particle filter
- particle filtering
- visual tracking
- feature points
- human motion
- vehicle detection
- articulated objects
- video sequences
- dynamic scenes
- video frames
- object tracking
- mean shift
- human actions
- image classification
- head motion
- viewpoint
- image segmentation