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175
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PRL
2007
166views more  PRL 2007»
15 years 6 months ago
Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
Sergio Escalera, Oriol Pujol, Petia Radeva
169
Voted
ICRA
2010
IEEE
104views Robotics» more  ICRA 2010»
15 years 5 months ago
Multi-camera object detection for robotics
— Robust object detection is a critical skill for robotic applications in complex environments like homes and offices. In this paper we propose a method for using multiple camer...
Adam Coates, Andrew Y. Ng
172
Voted
PAMI
2010
294views more  PAMI 2010»
15 years 5 months ago
Survey of Pedestrian Detection for Advanced Driver Assistance Systems
—Advanced driver assistance systems (ADASs), and particularly pedestrian protection systems (PPSs), have become an active research area aimed at improving traffic safety. The maj...
David Gerónimo, Antonio M. López, An...
238
Voted
BMVC
2010
15 years 4 months ago
Object Detection with Geometrical Context Feedback Loop
We propose a new coherent framework for joint object detection, 3D layout estimation, and object supporting region segmentation from a single image. Our approach is based on the m...
Min Sun, Yingze Bao, Silvio Savarese
BMVC
2010
15 years 4 months ago
Incremental Model Selection for Detection and Tracking of Planar Surfaces
Man-made environments are abundant with planar surfaces which have attractive properties and are a prerequisite for a variety of vision tasks. This paper presents an incremental m...
Johann Prankl, Michael Zillich, Bastian Leibe, Mar...