Tracking People in Video Sequences by Clustering Feature Motion Paths.
Adam GudysJakub RosnerJakub SegenKonrad W. WojciechowskiMarek KulbackiPublished in: ICCVG (2014)
Keyphrases
- video sequences
- motion estimation
- image sequences
- camera motion
- human motion
- space time
- moving objects
- temporal segmentation
- moving camera
- motion analysis
- optical flow
- k means
- feature vectors
- consecutive frames
- motion detection
- dynamic scenes
- video objects
- motion features
- motion capture
- motion capture data
- clustering algorithm
- image features
- spatial and temporal
- motion parameters
- clustering method
- facial motion
- motion field
- motion model
- multiple cameras
- video data
- adjacent frames
- computer vision
- motion patterns
- mobile robot
- data points
- feature set
- dynamic textures
- structure and motion recovery
- foreground objects
- visual data
- human activities
- video camera
- inter frame
- self organizing maps
- object tracking
- body parts
- spectral clustering
- key frames