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» Design and Use of Linear Models for Image Motion Analysis
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ICIP
2002
IEEE
14 years 9 months ago
Model-driven statistical analysis of human gait motion
We describe a new method for analyzing and extracting human gait motion by combining statistical methods with image processing. The periodic motion of human gait is modeled by tri...
Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris
TMI
2008
101views more  TMI 2008»
13 years 7 months ago
Robust Linearized Image Reconstruction for Multifrequency EIT of the Breast
Abstract--Electrical impedance tomography (EIT) is a developing imaging modality that is beginning to show promise for detecting and characterizing tumors in the breast. At Renssel...
Gregory Boverman, Tzu-Jen Kao, Rujuta Kulkarni, Bo...
MM
2004
ACM
212views Multimedia» more  MM 2004»
14 years 29 days ago
Nonparametric motion model
Motion information is a powerful cue for visual perception. In the context of video indexing and retrieval, motion content serves as a useful source for compact video representati...
Ling-Yu Duan, Min Xu, Qi Tian, Changsheng Xu
SSIAI
2000
IEEE
13 years 12 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
MICCAI
2001
Springer
13 years 12 months ago
Cardiac Motion Analysis from Ultrasound Sequences Using Non-rigid Registration
Abstract. In this article we propose a cardiac motion estimation technique that uses non-rigid registration to compute the dense cardiac displacement field from 2D ultrasound sequ...
María J. Ledesma-Carbayo, Jan Kybic, Manuel...