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CVPR
2000
IEEE
16 years 8 months ago
Reconstruction of a Scene with Multiple Linearly Moving Objects
We describe an algorithmfor reconstructing a scene containing multiple moving objects. Given a monocular image sequence, we recover the scene structure, the trajectories of the mo...
Mei Han, Takeo Kanade
CVPR
2005
IEEE
16 years 8 months ago
Bayesian 3D Modeling from Images Using Multiple Depth Maps
This paper addresses the problem of reconstructing the geometry and color of a Lambertian scene, given some fully calibrated images acquired with wide baselines. In order to compl...
Pau Gargallo, Peter F. Sturm
CVPR
2005
IEEE
16 years 8 months ago
Full Body Tracking from Multiple Views Using Stochastic Sampling
We present a novel approach for full body pose tracking using stochastic sampling. A volumetric reconstruction of a person is extracted from silhouettes in multiple video images. ...
Roland Kehl, Matthieu Bray, Luc J. Van Gool
CVPR
2007
IEEE
16 years 8 months ago
A Bayesian algorithm for tracking multiple moving objects in outdoor surveillance video
Reliable tracking of multiple moving objects in video is an interesting challenge, made difficult in real-world video by various sources of noise and uncertainty. We propose a Bay...
Manjunath Narayana, Donna Haverkamp
CVPR
2008
IEEE
16 years 8 months ago
Observe-and-explain: A new approach for multiple hypotheses tracking of humans and objects
This paper presents a novel approach for tracking humans and objects under severe occlusion. We introduce a new paradigm for multiple hypotheses tracking, observe-and-explain, as ...
Michael S. Ryoo, Jake K. Aggarwal