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» A Trainable System for Object Detection
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ECCV
2004
Springer
14 years 8 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
IROS
2007
IEEE
144views Robotics» more  IROS 2007»
14 years 1 months ago
Faster and more accurate face detection on mobile robots using geometric constraints
— We develop a framework to allow generic object detection algorithms to exploit geometric information commonly available to robot vision systems. Robot systems take pictures wit...
Michael Dixon, Frederick Heckel, Robert Pless, Wil...
IROS
2009
IEEE
198views Robotics» more  IROS 2009»
14 years 1 months ago
Scalable learning for object detection with GPU hardware
Abstract— We consider the problem of robotic object detection of such objects as mugs, cups, and staplers in indoor environments. While object detection has made significant pro...
Adam Coates, Paul Baumstarck, Quoc V. Le, Andrew Y...
IROS
2006
IEEE
247views Robotics» more  IROS 2006»
14 years 23 days ago
Towards Open-Ended 3D Rotation and Shift Invariant Object Detection for Robot Companions
- Robot companions need to be able to constantly acquire knowledge about new objects for instance in order to detect them in the environment. This ability is necessary since it is ...
Jens Kubacki, Winfried Baum
SECON
2008
IEEE
14 years 1 months ago
Analytical Study of Collaborative Information Coverage for Object Detection in Sensor Networks
—Many sensor networks are deployed for the purpose of covering and monitoring a particular region, and detecting the object of interest in the region. In this paper, based on the...
Guanqun Yang, Vinod Shukla, Daji Qiao