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» Learning to Detect A Salient Object
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PRL
2007
101views more  PRL 2007»
15 years 26 days ago
Accuracy versus speed in context-based object detection
The visual detection and recognition of objects is facilitated by context. This paper studies two types of learning methods for realizing context-based object detection in paintin...
Niek Bergboer, Eric O. Postma, H. Jaap van den Her...
ECAI
2004
Springer
15 years 6 months ago
Attention-Driven Parts-Based Object Detection
Recent studies have argued that natural vision systems perform classification by utilizing different mechanisms depending on the visual input. In this paper we present a hybrid, ...
Ilkka Autio, Jussi T. Lindgren
ICPR
2006
IEEE
16 years 2 months ago
Ent-Boost: Boosting Using Entropy Measure for Robust Object Detection
Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...
Duy-Dinh Le, Shin'ichi Satoh
ICRA
2010
IEEE
134views Robotics» more  ICRA 2010»
14 years 12 months ago
Viewpoint detection models for sequential embodied object category recognition
Abstract— This paper proposes a method for learning viewpoint detection models for object categories that facilitate sequential object category recognition and viewpoint planning...
David Meger, Ankur Gupta, James J. Little
ICIP
2007
IEEE
16 years 3 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson