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2017 | OriginalPaper | Chapter

Vehicle Detection Using Alex Net and Faster R-CNN Deep Learning Models: A Comparative Study

Authors : Jorge E. Espinosa, Sergio A. Velastin, John W. Branch

Published in: Advances in Visual Informatics

Publisher: Springer International Publishing

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Abstract

This paper presents a comparative study of two deep learning models used here for vehicle detection. Alex Net and Faster R-CNN are compared with the analysis of an urban video sequence. Several tests were carried to evaluate the quality of detections, failure rates and times employed to complete the detection task. The results allow to obtain important conclusions regarding the architectures and strategies used for implementing such network for the task of video detection, encouraging future research in this topic.

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Metadata
Title
Vehicle Detection Using Alex Net and Faster R-CNN Deep Learning Models: A Comparative Study
Authors
Jorge E. Espinosa
Sergio A. Velastin
John W. Branch
Copyright Year
2017
Book
Advances in Visual Informatics

Print ISBN: 978-3-319-70009-0

Electronic ISBN: 978-3-319-70010-6

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-70010-6_1

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