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» Robust Object Detection at Regions of Interest with an Appli...
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CVIU
2010
429views more  CVIU 2010»
13 years 4 months ago
Cascade of descriptors to detect and track objects across any network of cameras
Most multi-camera systems assume a well structured environment to detect and track objects across cameras. Cameras need to be fixed and calibrated, or only objects within a traini...
Alexandre Alahi, Pierre Vandergheynst, Michel Bier...
PAKDD
2009
ACM
103views Data Mining» more  PAKDD 2009»
13 years 11 months ago
Hot Item Detection in Uncertain Data
Abstract. An object o of a database D is called a hot item, if there is a sufficiently large population of other objects in D that are similar to o. In other words, hot items are ...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
PRL
2010
310views more  PRL 2010»
13 years 3 months ago
A Lagrangian Half-Quadratic approach to robust estimation and its applications to road scene analysis
We consider the problem of fitting linearly parameterized models, that arises in many computer vision problems such as road scene analysis. Data extracted from images usually cont...
Jean-Philippe Tarel, Pierre Charbonnier
ECCV
2006
Springer
14 years 6 months ago
SURF: Speeded Up Robust Features
In this paper, we present a novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust Features). It approximates or even outperform...
Herbert Bay, Tinne Tuytelaars, Luc J. Van Gool
ROBOCUP
2007
Springer
162views Robotics» more  ROBOCUP 2007»
13 years 11 months ago
Adaptive Recognition of Color-Coded Objects in Indoor and Outdoor Environments
Abstract. To achieve robust color perception under varying light conditions in indoor and outdoor environments, we propose a three-step method consisting of adaptive camera paramet...
Yasutake Takahashi, Walter Nowak, Thomas Wisspeint...