Using optical flow equation for particle detection and velocity prediction in particle tracking.
Luca ShindlerMonica MoroniAntonio CenedesePublished in: Appl. Math. Comput. (2012)
Keyphrases
- optical flow
- velocity field
- velocity vector
- motion model
- feature tracking
- dense optical flow
- motion segmentation
- particle filter
- real time
- motion estimation
- computer vision
- kalman filter
- prediction accuracy
- image sequences
- moving camera
- lucas kanade
- proposal distribution
- multi target tracking
- motion field
- robust tracking
- human detection
- object detection
- prediction error
- prediction model
- flow field
- optical flow computation
- point tracking
- object tracking
- runge kutta
- binocular disparity
- detecting and tracking multiple
- optical flow estimation
- least squares
- motion parameters
- appearance model
- numerical methods
- detection algorithm
- false detections
- visual tracking
- detection rate
- moving objects
- detection method
- d scene
- structure from motion
- camera motion