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» Integration of Background Modeling and Object Tracking
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PAMI
2006
243views more  PAMI 2006»
14 years 10 months ago
Dynamical Statistical Shape Priors for Level Set-Based Tracking
In recent years, researchers have proposed to introduce statistical shape knowledge into level set based segmentation methods in order to cope with insufficient low-level informati...
Daniel Cremers
ECCV
2002
Springer
16 years 10 days ago
Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation
This paper describes techniques for fusing the output of multiple cues to robustly and accurately segment foreground objects from the background in image sequences. Two different m...
Eric Hayman, Jan-Olof Eklundh
97
Voted

Publication
1301views
15 years 10 months ago
Markovian Tracking-by-Detection from a Single, Uncalibrated Camera
We present an algorithm for multi-person tracking-bydetection in a particle filtering framework. To address the unreliability of current state-of-the-art object detectors, our a...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
ICRA
2005
IEEE
145views Robotics» more  ICRA 2005»
15 years 4 months ago
Modeling the Static and the Dynamic Parts of the Environment to Improve Sensor-based Navigation
— This paper addresses the modeling of the static and dynamic parts of the scenario and how to use this information within a real sensor-based navigation system. The contribution...
Luis Montesano, Javier Minguez, Luis Montano
AROBOTS
2008
104views more  AROBOTS 2008»
14 years 10 months ago
Modeling dynamic scenarios for local sensor-based motion planning
This paper addresses the modeling of the static and dynamic parts of the scenario and how to use this information with a sensor-based motion planning system. The contribution in th...
Luis Montesano, Javier Minguez, Luis Montano