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ICIP
2007
IEEE
14 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
IVC
2008
71views more  IVC 2008»
13 years 7 months ago
Topological triangle characterization with application to object detection from images
A novel mathematical framework inspired on Morse Theory for topological triangle characterization in 2D meshes is introduced that is useful for applications involving the creation...
Luis Gustavo Nonato, Mario A. S. Lizier, J. Batist...
PRL
2007
166views more  PRL 2007»
13 years 6 months ago
Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
Sergio Escalera, Oriol Pujol, Petia Radeva
ICIP
2002
IEEE
14 years 9 months ago
Likelihood-based object detection and object tracking using color histograms and EM
The topic of this paper is the integration of Expectation Maximization (EM) background modeling and template matching using color histograms as templates to improve person trackin...
Paul J. Withagen, Klamer Schutte, Frans C. A. Groe...
ICIP
2010
IEEE
13 years 4 months ago
Object detection and segmentation on a hierarchical region-based image representation
In this paper we present a general framework for object detection and segmentation. Using a bottom-up unsupervised merging algorithm, a region-based hierarchy that represents the ...
Verónica Vilaplana, Ferran Marqués, ...