Motion Flow Tracking in Unconstrained Videos for Retail Scenario.
Eduardo Marques PereiraJaime S. CardosoRicardo MorlaPublished in: IbPRIA (2013)
Keyphrases
- moving camera
- motion model
- input video
- motion analysis
- recognition of human actions
- successive frames
- motion cues
- motion tracking
- motion segmentation
- video sequences
- motion features
- traffic scenes
- flow field
- consecutive frames
- video stabilization
- video frames
- motion detection
- robust tracking
- articulated body
- real time tracking
- camera motion
- long video sequences
- image sequences
- motion parameters
- dynamic scenes
- surveillance videos
- space time
- rigidly moving
- particle filter
- low frame rate
- video scene
- moving target
- feature tracking
- d scene
- periodic motion
- optical flow
- action recognition
- deformable objects
- temporal continuity
- motion trajectories
- motion estimation
- visual tracking
- appearance features
- kalman filter
- video surveillance
- dynamic background
- visual motion
- human actions
- multiple moving objects
- hand motion
- color based tracking
- video analysis
- key frames
- video images
- wide area motion imagery
- static images
- articulated objects
- tracking framework
- stationary camera
- spatial and temporal
- beating heart
- multi view
- global motion
- motion patterns
- video content
- moving objects
- motion field
- human motion
- feature points
- reference frame
- video data
- moving vehicles
- object motion
- object tracking
- human activities
- dynamic textures
- velocity field
- degrees of freedom
- human body
- video dataset