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IROS
2008
IEEE
144views Robotics» more  IROS 2008»
16 years 1 months ago
Frame rate object extraction from video sequences with self organizing networks and statistical background detection
— In many computer vision related applications it is necessary to distinguish between the background of an image and the objects that are contained in it. This is a difficult pr...
Thiago C. Bellardi, Dizan Vasquez, Christian Laugi...
JACM
2010
104views more  JACM 2010»
15 years 5 months ago
Tight failure detection bounds on atomic object implementations
This article determines the weakest failure detectors to implement shared atomic objects in a distributed system with crash-prone processes. We first determine the weakest failure...
Carole Delporte-Gallet, Hugues Fauconnier, Rachid ...
ICIP
2007
IEEE
16 years 1 months ago
Propagating Image-Level Part Statistics to Enhance Object Detection
The bag-of-words approach has become increasingly attractive in the fields of object category recognition and scene classification, witnessed by some successful applications [5, 7...
Sheng Gao, Joo-Hwee Lim, Qibin Sun
ICRA
2010
IEEE
226views Robotics» more  ICRA 2010»
15 years 5 months ago
Indoor scene recognition through object detection
Abstract— Scene recognition is a highly valuable perceptual ability for an indoor mobile robot, however, current approaches for scene recognition present a significant drop in p...
Pablo Espinace, Thomas Kollar, Alvaro Soto, Nichol...
CVPR
2004
IEEE
16 years 8 months ago
Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection
We consider the problem of detecting a large number of different object classes in cluttered scenes. Traditional approaches require applying a battery of different classifiers to ...
Antonio B. Torralba, Kevin P. Murphy, William T. F...