Motion Clustering using Spatiotemporal Approximations.
Andrew NaftelShehzad KhalidPublished in: IMSA (2005)
Keyphrases
- space time
- spatial and temporal
- moving objects
- clustering algorithm
- clustering method
- image sequences
- k means
- optical flow
- spatio temporal
- motion estimation
- motion patterns
- self organizing maps
- motion planning
- information theoretic
- camera motion
- computer vision
- motion model
- motion segmentation
- motion analysis
- human motion
- outlier detection
- dynamic textures
- visual perception
- data objects
- dynamic scenes
- unsupervised learning
- data points
- mobile robot
- video sequences
- static images
- image motion
- moving points
- continuously moving