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» Object Segmentation and Tracking Using Video Locales
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CVPR
2009
IEEE
3538views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Markerless Motion Capture with Unsynchronized Moving Cameras
In this work we present an approach for markerless motion capture (MoCap) of articulated objects, which are recorded with multiple unsynchronized moving cameras. Instead of usin...
Bodo Rosenhahn, Hans-Peter Seidel, Juergen Gall, M...
ENC
2004
IEEE
13 years 11 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
ICCV
2005
IEEE
14 years 1 months ago
TemporalBoost for Event Recognition
This paper contributes a new boosting paradigm to achieve detection of events in video. Previous boosting paradigms in vision focus on single frame detection and do not scale to v...
Paul Smith, Niels da Vitoria Lobo, Mubarak Shah
CVPR
2007
IEEE
14 years 9 months ago
Recognizing Groceries in situ Using in vitro Training Data
The problem of using pictures of objects captured under ideal imaging conditions (here referred to as in vitro) to recognize objects in natural environments (in situ) is an emergi...
Michele Merler, Carolina Galleguillos, Serge Belon...
PG
2003
IEEE
14 years 1 months ago
From a Closed Piecewise Geodesic to a Constriction on a Closed Triangulated Surface
Constrictions on a surface are defined as simple closed curves whose length is locally minimal. In particular, constrictions are periodic geodesics. We use constrictions in order...
Franck Hétroy, Dominique Attali