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PAMI
2008
235views more  PAMI 2008»
15 years 5 months ago
Dependent Multiple Cue Integration for Robust Tracking
We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and po...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
ICALT
2005
IEEE
16 years 23 hour ago
Towards an Advanced Modeling System Applying a Service-Based Approach
Based on the overall aims of the AdeLE (Adaptive e-Learning with Eye-Tracking) project, and in particular motivated by the decision of using a strictly separated system’s archit...
Christian Gütl, Victor Manuel García-B...
ICCV
2009
IEEE
16 years 11 months ago
Learning Pedestrian Dynamics from the Real World
In this paper we describe a method to learn parameters which govern pedestrian motion by observing video data. Our learning framework is based on variational mode learning and a...
Paul Scovanner, Marshall Tappen
ENC
2004
IEEE
15 years 10 months ago
Feature Selection for Visual Gesture Recognition Using Hidden Markov Models
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate depends on the set of visual features used, and al...
José Antonio Montero, Luis Enrique Sucar
BMCBI
2006
126views more  BMCBI 2006»
15 years 6 months ago
Genomes as geography: using GIS technology to build interactive genome feature maps
Background: Many commonly used genome browsers display sequence annotations and related attributes as horizontal data tracks that can be toggled on and off according to user prefe...
Mary E. Dolan, Constance C. Holden, M. Kate Beard,...