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Joint Visual Vocabulary For Animal Classification
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.ORCID iD: 0000-0002-1396-0102
2008 (English)In: 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 2008, 2019-2022 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a method for visual object categorization based on encoding the joint textural information in objects and the surrounding back-ground, and requiring no segmentation during recognition. The framework can be used together with various learning techniques and model representations. Here we use this framework with simple probabilistic models and more complex representations obtained using Support Vector Machines. We prove that our approach provides good recognition performance for complex problems for which some of the existing methods have difficulties. Additionally, we introduce a new extensive database containing realistic images of animals in complex natural environments. We asses the database in a set of experiments in which we compare the performance of our approach with a recently proposed method.

Place, publisher, year, edition, pages
2008. 2019-2022 p.
Series
INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, ISSN 1051-4651
Keyword [en]
Complex problems, Existing method, Learning techniques, Model representation, Natural environments, Probabilistic models, Realistic images, Recognition performance, Textural information, Visual objects, Visual vocabularies, Pattern recognition
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-31231DOI: 10.1109/ICPR.2008.4761710ISI: 000264729001012Scopus ID: 2-s2.0-77957947145ISBN: 978-1-4244-2174-9 (print)OAI: oai:DiVA.org:kth-31231DiVA: diva2:405906
Conference
19th International Conference on Pattern Recognition (ICPR 2008), Tampa, FL, DEC 08-11, 2008
Note
QC 20110324Available from: 2011-03-24 Created: 2011-03-11 Last updated: 2011-03-24Bibliographically approved

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Maboudi Afkham, HeydarTavakoli Targhi, AlirezaEklundh, Jan-OlofPronobis, Andrzej
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