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» A Framework for Representing Moving Objects
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CVPR
2006
IEEE
15 years 11 months ago
Element-Free Elastic Models for Volume Fitting and Capture
We present a new method of fitting an element-free volumetric model to a sequence of deforming surfaces of a moving object. Given a sequence of visual hulls, we iteratively fit an...
Jaeil Choi, Andrzej Szymczak, Greg Turk, Irfan A. ...
ICCV
2001
IEEE
15 years 11 months ago
A Background Model Initialization Algorithm for Video Surveillance
Many motion detection and tracking algorithms rely on the process of background subtraction, a technique which detects changes from a model of the background scene. We present a n...
Daniel Gutchess, Miroslav Trajkovic, Eric Cohen-So...
ICPR
2008
IEEE
15 years 11 months ago
Review and evaluation of commonly-implemented background subtraction algorithms
Locating moving objects in a video sequence is the first step of many computer vision applications. Among the various motion-detection techniques, background subtraction methods a...
Bruno Emile, Christophe Rosenberger, Hél&eg...
EDBT
2009
ACM
162views Database» more  EDBT 2009»
15 years 4 months ago
A data model for trip planning in multimodal transportation systems
This paper introduces the problem of modeling urban transportation systems in a database where certain aspects of the data are probabilistic in nature. The transportation network ...
Joel Booth, A. Prasad Sistla, Ouri Wolfson, Isabel...
ACCV
2009
Springer
15 years 4 months ago
3D Motion Segmentation Using Intensity Trajectory
Motion segmentation is a fundamental aspect of tracking in a scene with multiple moving objects. In this paper we present a novel approach to clustering individual image pixels ass...
Hua Yang, Greg Welch, Jan-Michael Frahm, Marc Poll...