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Author: Osman Hassab Elgawi

Affiliation: Tokyo Institute of Technology, Japan

Keyword(s): Random forests (RFs), Object recognition, Histograms, Covariance descriptor.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Coding and Compression ; Image Enhancement and Restoration ; Image Formation and Preprocessing

Abstract: This study proposes an on-line machine learning approach for object recognition, where new images are continuously added and the recognition decision is made without delay. Random forest (RF) classifier has been extensively used as a generative model for classification and regression applications. We extend this technique for the task of building incremental component-based detector. First we employ object descriptor model based on bag of covariance matrices, to represent an object region then run our on-line RF learner to select object descriptors and to learn an object classifier. Experiments of the object recognition are provided to verify the effectiveness of the proposed approach. Results demonstrate that the propose model yields in object recognition performance comparable to the benchmark standard RF, AdaBoost, and SVM classifiers.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Hassab Elgawi, O. (2009). INCREMENTAL MACHINE LEARNING APPROACH FOR COMPONENT-BASED RECOGNITION. In Proceedings of the First International Conference on Computer Imaging Theory and Applications (VISIGRAPP 2009) - IMAGAPP; ISBN 978-989-8111-68-5, SciTePress, pages 5-12. DOI: 10.5220/0001783100050012

@conference{imagapp09,
author={Osman {Hassab Elgawi}.},
title={INCREMENTAL MACHINE LEARNING APPROACH FOR COMPONENT-BASED RECOGNITION},
booktitle={Proceedings of the First International Conference on Computer Imaging Theory and Applications (VISIGRAPP 2009) - IMAGAPP},
year={2009},
pages={5-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001783100050012},
isbn={978-989-8111-68-5},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Imaging Theory and Applications (VISIGRAPP 2009) - IMAGAPP
TI - INCREMENTAL MACHINE LEARNING APPROACH FOR COMPONENT-BASED RECOGNITION
SN - 978-989-8111-68-5
AU - Hassab Elgawi, O.
PY - 2009
SP - 5
EP - 12
DO - 10.5220/0001783100050012
PB - SciTePress