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166
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MVA
2002
186views Computer Vision» more  MVA 2002»
15 years 3 months ago
Identifying Body Parts of Multiple People in Multi-Camera Images
In order to track and recognize the movements of multiple people using multiple cameras, each person needs to be segmented and identified in the image of each camera. We propose a...
Masafumi Tominaga, Hitoshi Hongo, Hiroyasu Koshimi...
126
Voted
ICCV
2007
IEEE
16 years 5 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis
135
Voted
ICIP
2001
IEEE
16 years 5 months ago
Reconstruction of sculpture from uncalibrated image profiles
Profiles of a sculpture provide rich information about its geometry, and can be used for model reconstruction under known camera motion. By exploiting correspondences induced by e...
Kwan-Yee Kenneth Wong, Roberto Cipolla
110
Voted
CVPR
2006
IEEE
15 years 9 months ago
Real Time Localization and 3D Reconstruction
In this paper we describe a method that estimates the motion of a calibrated camera (settled on an experimental vehicle) and the tridimensional geometry of the environment. The on...
E. Mouragnon, Fabien Dekeyser, Patrick Sayd, Maxim...
151
Voted
ICAT
2007
IEEE
15 years 5 months ago
Edge-Based Markerless 3D Tracking of Rigid Objects
In this paper we present a real-time 3D object tracking algorithm based on edges and using a single pre-calibrated camera. During the tracking process, the algorithm is continuous...
Javier Barandiarán, Diego Borro