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» Learning to Track with Multiple Observers
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ICCV
2003
IEEE
14 years 9 months ago
Minimally-Supervised Classification using Multiple Observation Sets
This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
Chris Stauffer
IROS
2009
IEEE
143views Robotics» more  IROS 2009»
14 years 2 months ago
Systems and algorithms for autonomously simultaneous observation of multiple objects using robotic PTZ cameras assisted by a wid
— We report an autonomous observation system with multiple pan-tilt-zoom (PTZ) cameras assisted by a fixed wideangle camera. The wide-angle camera provides large but low resolut...
Yiliang Xu, Dezhen Song
WSCG
2004
232views more  WSCG 2004»
13 years 9 months ago
Robust Tracking of Athletes Using Multiple Features of Multiple Views
This paper presents a robust and reconfigurable object tracker that integrates multiple visual features from multiple views. The tandem modular architecture stepwise refines the e...
Toshihiko Misu, Seiichi Gohshi, Yoshinori Izumi, Y...
ECCV
2008
Springer
13 years 9 months ago
Vision-Based Multiple Interacting Targets Tracking via On-Line Supervised Learning
Abstract. Successful multi-target tracking requires locating the targets and labeling their identities. This mission becomes significantly more challenging when many targets freque...
Xuan Song, Jinshi Cui, Hongbin Zha, Huijing Zhao
PSIVT
2007
Springer
129views Multimedia» more  PSIVT 2007»
14 years 1 months ago
Multi-target Tracking with Poisson Processes Observations
This paper considers the problem of Bayesian inference in dynamical models with time-varying dimension. These models have been studied in the context of multiple target tracking pr...
Sergio Hernández, Paul Teal