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EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
This paper describes an approach for tracking rigid and articulated objects using a view-based representation. The approach builds on and extends work on eigenspace representations, robust estimationExpand
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Robust Online Appearance Models for Visual Tracking
We propose a framework for learning robust, adaptive, appearance models to be used for motion-based tracking of natural objects. The model adapts to slowly changing appearance, and it maintains aExpand
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Computation of component image velocity from local phase information
We present a technique for the computation of 2D component velocity from image sequences. Initially, the image sequence is represented by a family of spatiotemporal velocity-tuned linear filters.Expand
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Subspace methods for recovering rigid motion I: Algorithm and implementation
As an observer moves and explores the environment, the visual stimulation in his/her eye is constantly changing. Somehow he/she is able to perceive the spatial layout of the scene, and to discernExpand
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Phase-based disparity measurement
Abstract The measurement of image disparity is a fundamental precursor to binocular depth estimation. Recently, Jenkin and Jepson (in Computational Processes in Human Vision (V. Pylyshyn, Ed.),Expand
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Non-rigid structure from locally-rigid motion
We introduce locally-rigid motion, a general framework for solving the M-point, N-view structure-from-motion problem for unknown bodies deforming under orthography. The key idea is to first solveExpand
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Mixture models for optical flow computation
The computation of optical flow relies on merging information available over an image patch to form an estimate of 2-D image velocity at a point. This merging process raises many issues. TheseExpand
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Estimating Optical Flow in Segmented Images Using Variable-Order Parametric Models With Local Deformations
This paper presents a new model for estimating optical flow based on the motion of planar regions plus local deformations. The approach exploits brightness information to organize and constrain theExpand
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Linear subspace methods for recovering translational direction
The image motion eld for an observer moving through a static environment de pends on the observer s translational and rotational velocities along with the distances to surface points Given such aExpand
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A Probabilistic Framework for Matching Temporal Trajectories: CONDENSATION-Based Recognition of Gestures and Expressions
The recognition of human gestures and facial expressions in imagesequences isan important and challenging problem that enables a hostof human-computer interaction applications. Thispaperdescribes aExpand
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