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» Dealing with Multiple Motions in Optical Flow Estimation
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MVA
1992
166views Computer Vision» more  MVA 1992»
14 years 10 months ago
Estimation and Interpretation of Optical Flow Fields for Counting Moving Objects
The main goal of sequence analysis is the motion estimation of moving objects which are present in the scene. One of the most important approaches for motion estimation is based o...
Alberto Del Bimbo, Paolo Nesi, Jorge L. C. Sanz
IJCV
1998
98views more  IJCV 1998»
14 years 9 months ago
Exploiting Discontinuities in Optical Flow
Most optical flow estimation techniques have substantial difficulties dealing with flow discontinuities. Methods which simultaneously detect flow boundaries and use the detect...
William B. Thompson
AIPR
2001
IEEE
15 years 1 months ago
Model-Based Face Tracking for Dense Motion Field Estimation
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
Timothy F. Gee, Russell M. Mersereau
ICPR
2006
IEEE
15 years 10 months ago
Transforming Static CT in Gated PET/CT Studies to Multiple Respiratory Phases
Discrepancy between CT and PET data due to motion in PET/CT studies is a significant problem. PET is acquired over a period of time whereas CT is static. Thus attenuation correcti...
Mohammad Dawood, Florian Büther, N. Lang, Xia...
ECCV
2008
Springer
15 years 11 months ago
A Segmentation Based Variational Model for Accurate Optical Flow Estimation
Segmentation has gained in popularity in stereo matching. However, it is not trivial to incorporate it in optical flow estimation due to the possible non-rigid motion problem. In t...
Li Xu, Jianing Chen, Jiaya Jia