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» A Boundary-Fragment-Model for Object Detection
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ICCV
2005
IEEE
16 years 2 days ago
Contour-Based Learning for Object Detection
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
Jamie Shotton, Andrew Blake, Roberto Cipolla
IROS
2009
IEEE
198views Robotics» more  IROS 2009»
16 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...
ICMCS
2005
IEEE
182views Multimedia» more  ICMCS 2005»
16 years 1 days ago
An integrated approach for generic object detection using kernel PCA and boosting
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...
Saad Ali, Mubarak Shah
ICRA
2009
IEEE
115views Robotics» more  ICRA 2009»
16 years 1 months ago
High-accuracy 3D sensing for mobile manipulation: Improving object detection and door opening
— High-resolution 3D scanning can improve the performance of object detection and door opening, two tasks critical to the operation of mobile manipulators in cluttered homes and ...
Morgan Quigley, Siddharth Batra, Stephen Gould, El...
ACIVS
2005
Springer
16 years 12 hour ago
A Hybrid Color-Based Foreground Object Detection Method for Automated Marine Surveillance
This paper proposes a hybrid foreground object detection method suitable for the marine surveillance applications. Our approach combines an existing foreground object detection met...
Daniel Socek, Dubravko Culibrk, Oge Marques, Hari ...