LEARNING OBJECT DETECTION USING MULTIPLE NEURAL NETWORKS

Ignazio Gallo, Angelo Nodari

2011

Abstract

Multiple neural network systems have become popular techniques for tackling complex tasks, often giving improved performance compared to a single network. In this study we propose an innovative detection algorithm in image analysis using a multiple neural network approach where many neural networks are jointly used to solve the object detection problem. We use a group of networks configured with different parameters and features, then combines them in order to obtain new networks. The topology of the set of neural networks is statically configured as a tree where the root node produces in output the detection map. This work represents a preliminary study through which we want to move from detection to segmentation and recognition of objects of interest. We have compared our model with other detection algorithms using a standard dataset and the results are encouraging. The results highlight the advantages and problems that will guide the evolution of the proposed model.

References

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Paper Citation


in Harvard Style

Gallo I. and Nodari A. (2011). LEARNING OBJECT DETECTION USING MULTIPLE NEURAL NETWORKS . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 131-136. DOI: 10.5220/0003328301310136


in Bibtex Style

@conference{visapp11,
author={Ignazio Gallo and Angelo Nodari},
title={LEARNING OBJECT DETECTION USING MULTIPLE NEURAL NETWORKS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={131-136},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003328301310136},
isbn={978-989-8425-47-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - LEARNING OBJECT DETECTION USING MULTIPLE NEURAL NETWORKS
SN - 978-989-8425-47-8
AU - Gallo I.
AU - Nodari A.
PY - 2011
SP - 131
EP - 136
DO - 10.5220/0003328301310136