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» Accuracy versus speed in context-based object detection
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CVPR
2009
IEEE
14 years 2 months ago
Optimal scanning for faster object detection
Recent years have seen the development of fast and accurate algorithms for detecting objects in images. However, as the size of the scene grows, so do the running-times of these a...
Nicholas J. Butko, Javier R. Movellan
EUROSSC
2008
Springer
13 years 9 months ago
Using a Movable RFID Antenna to Automatically Determine the Position and Orientation of Objects on a Tabletop
Augmented tabletop games support players by sensing the context of game figures (i.e., position and/or orientation) and then using this information to display additional game infor...
Steve Hinske, Marc Langheinrich
IPMI
2009
Springer
14 years 8 months ago
Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images
Recently, marginal space learning (MSL) was proposed as a generic approach for automatic detection of 3D anatomical structures in many medical imaging modalities [1]. To accurately...
Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu
HIS
2008
13 years 9 months ago
Automatic Circle Detection on Images with Annealed Differential Evolution
This article presents an algorithm for the automatic detection of circular shapes from complicated and noisy images. The algorithm is based on a hybrid technique composed of simul...
Swagatam Das, Sambarta Dasgupta, Arijit Biswas, Aj...
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
14 years 1 months ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...