Bag of Optical Flow Volumes for Image Sequence Recognition.
Hayko RiemenschneiderMichael DonoserHorst BischofPublished in: BMVC (2009)
Keyphrases
- optical flow
- image sequences
- motion field
- flow field
- motion segmentation
- recognition rate
- motion estimation
- motion model
- object recognition
- computer vision
- camera motion
- spatio temporal
- moving objects
- optical flow estimation
- motion parameters
- optical flow computation
- image recognition
- feature points
- optical flow field
- optical flow fields
- motion analysis
- three dimensional
- computation of optical flow
- video sequences
- feature extraction
- d scene
- background subtraction
- pattern recognition
- estimation of optical flow
- recognition accuracy
- image frames
- velocity field
- vector field
- consecutive frames
- consecutive images
- least squares
- activity recognition
- recognition algorithm
- dense optical flow
- gait recognition
- ego motion
- recognition of facial expressions
- synthetic image sequences
- multi instance learning
- feature tracking
- depth map
- optic flow
- moving camera
- bag of words
- structure from motion