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» Using Optical Flow for Tracking
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PR
2008
230views more  PR 2008»
13 years 8 months ago
Human action recognition using shape and CLG-motion flow from multi-view image sequences
In this paper, we present a method for human action recognition from multi-view image sequences that uses the combined motion and shape flow information with variability considera...
Mohiuddin Ahmad, Seong-Whan Lee
ICIP
2008
IEEE
14 years 10 months ago
Geodesic active regions for segmentation and tracking of human gestures in sign language videos
Reliable segmentation and motion tracking algorithms are required to achieve gesture detection and tracking for human-machine interaction. In this paper we present an efficient me...
Olga Diamanti, Petros Maragos
ISVC
2009
Springer
14 years 3 months ago
Optical Flow Computation from an Asynchronised Multiresolution Image Sequence
We develop a method for the optical flow computation from a zooming image sequence. The synchronisation of image resolution for a pair of successive images in an image sequence is...
Yusuke Kameda, Naoya Ohnishi, Atsushi Imiya, Tomoy...
DAGM
2005
Springer
14 years 2 months ago
Probabilistic Color Optical Flow
Usually, optical flow computation is based on grayscale images and the brightness conservation assumption. Recently, some authors have investigated in transferring gradient-based ...
Volker Willert, Julian Eggert, Sebastian Clever, E...
PR
2007
147views more  PR 2007»
13 years 8 months ago
Coarse to over-fine optical flow estimation
We present a readily applicable way to go beyond the accuracy limits of current optical flow estimators. Modern optical flow algorithms employ the coarse to fine approach. We s...
Tomer Amiaz, Eyal Lubetzky, Nahum Kiryati