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» Modeling Moving Objects over Multiple Granularities
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IROS
2006
IEEE
144views Robotics» more  IROS 2006»
14 years 1 months ago
Hierarchical Featureless Tracking for Position-Based 6-DoF Visual Servoing
— Classical position-based visual servoing approaches rely on the presence of distinctive features in the image such as corners and edges. In this contribution we exploit a hiera...
Wolfgang Sepp, Stefan Fuchs, Gerd Hirzinger
TCSV
2010
13 years 2 months ago
Video Foreground Detection Based on Symmetric Alpha-Stable Mixture Models
Background subtraction (BS) is an efficient technique for detecting moving objects in video sequences. A simple BS process involves building a model of the background and extractin...
Harish Bhaskar, Lyudmila Mihaylova, Alin Achim
ICRA
2003
IEEE
171views Robotics» more  ICRA 2003»
14 years 25 days ago
Motion planning for multiple mobile robots using dynamic networks
- A new motion planning framework is presented that enables multiple mobile robots with limited ranges of sensing and communication to maneuver and achieve goals safely in dynamic ...
Christopher M. Clark, Stephen M. Rock, Jean-Claude...
IJIG
2002
189views more  IJIG 2002»
13 years 7 months ago
Motion Detection from Time-Varied Background
This paper proposes a new background subtraction method for detecting moving objects from a time-varied background. While background subtraction has traditionally worked well for ...
Ying Ren, Chin-Seng Chua, Yeong-Khing Ho
BMVC
2001
13 years 10 months ago
Tracking multiple sports players through occlusion, congestion and scale
Tracking sports players over a large playing area is a challenging problem. The players move quickly, and have large variations in their silhouettes. This paper presents a framewo...
Chris J. Needham, Roger D. Boyle