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» Robust Statistics for 3D Object Tracking
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ECCV
2002
Springer
14 years 9 months ago
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation
We present a variational integration of nonlinear shape statistics into a Mumford?Shah based segmentation process. The nonlinear statistics are derived from a set of training silho...
Christoph Schnörr, Daniel Cremers, Timo Kohlb...
ICIP
2008
IEEE
14 years 9 months ago
Hybrid tracking approach using optical flow and pose estimation
This paper proposes an hybrid approach to estimate the 3D pose of an object. The integration of texture information based on image intensities in a more classical non-linear edge-...
Éric Marchand, Étienne Mémin,...
ICCV
2007
IEEE
14 years 9 months ago
Synthetic Aperture Tracking: Tracking through Occlusions
Occlusion is a significant challenge for many tracking algorithms. Most current methods can track through transient occlusion, but cannot handle significant extended occlusion whe...
Neel Joshi, Shai Avidan, Wojciech Matusik, David J...
ICPR
2006
IEEE
14 years 8 months ago
Detection-Assisted Initialization, Adaptation and Fusion of Body Region Trackers for Robust Multiperson Tracking
In this paper, we present a system for simultaneous tracking of multiple persons in a smartroom using multiple cameras. Robust person tracks are created, continuously adapted, and...
Keni Bernardin, Alexander Elbs, Rainer Stiefelhage...
VRST
1997
ACM
13 years 12 months ago
Real-time vision-based camera tracking for augmented reality applications
Augmented reality deals with the problem of dynamically augmenting or enhancing (images or live video of) the real world with computer generated data (e.g., graphics of virtual ob...
Dieter Koller, Gudrun Klinker, Eric Rose, David E....