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» Learning to Track with Multiple Observers
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ROBOCUP
2004
Springer
117views Robotics» more  ROBOCUP 2004»
15 years 8 months ago
Map-Based Multiple Model Tracking of a Moving Object
In this paper we propose an approach for tracking a moving target using Rao-Blackwellised particle filters. Such filters represent posteriors over the target location by a mixtur...
Cody C. T. Kwok, Dieter Fox
TSMC
2008
147views more  TSMC 2008»
15 years 2 months ago
Tracking of Multiple Targets Using Online Learning for Reference Model Adaptation
Recently, much work has been done in multiple ob-4 ject tracking on the one hand and on reference model adaptation5 for a single-object tracker on the other side. In this paper, we...
Franz Pernkopf
PAMI
2008
188views more  PAMI 2008»
15 years 3 months ago
Segmentation and Tracking of Multiple Humans in Crowded Environments
Segmentation and tracking of multiple humans in crowded situations is made difficult by interobject occlusion. We propose a model-based approach to interpret the image observations...
Tao Zhao, Ramakant Nevatia, Bo Wu
ICRA
2010
IEEE
177views Robotics» more  ICRA 2010»
15 years 1 months ago
Fusion of laser and vision for multiple targets tracking via on-line learning
— Multi-target tracking becomes significantly more challenging when the targets are in close proximity or frequently interact with each other. This paper presents a promising tr...
Xuan Song, Huijing Zhao, Jinshi Cui, Xiaowei Shao,...
CVPR
2009
IEEE
16 years 10 months ago
Visual Tracking with Online Multiple Instance Learning
In this paper, we address the problem of learning an adaptive appearance model for object tracking. In particular, a class of tracking techniques called “tracking by detection...
Boris Babenko, Ming-Hsuan Yang, Serge J. Belongie