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» Boosting Object Detection Using Feature Selection
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ICASSP
2008
IEEE
15 years 11 months ago
Automatic Flamingo detection using a multiple birth and death process
Here we present a new approach to automatically detect and count breeding Greater Flamingos (Phoenicopterus Roseus) on aerial photographsof their colonies. We consider a stochasti...
Stig Descamps, Xavier Descombes, Arnaud Bechet, Jo...
ICMCS
2006
IEEE
112views Multimedia» more  ICMCS 2006»
15 years 11 months ago
Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering
The Feature Vector approach is one of the most popular schemes for managing multimedia data. For many data types such as audio, images, or 3D models, an abundance of different Fea...
Tobias Schreck, Daniel A. Keim, Christian Panse
ICCV
2007
IEEE
16 years 6 months ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
CVPR
2005
IEEE
16 years 6 months ago
Robust Object Detection via Soft Cascade
We describe a method for training object detectors using a generalization of the cascade architecture, which results in a detection rate and speed comparable to that of the best p...
Lubomir D. Bourdev, Jonathan Brandt
ICIP
2008
IEEE
15 years 11 months ago
A gradient-based hybrid image fusion scheme using object extraction
This paper presents a new hybrid image fusion scheme that combines features of pixel and region based fusion, to be integrated in a surveillance system. In such systems, objects c...
Milad Ghantous, Soumik Ghosh, Magdy Bayoumi