Proceedings of the International Conference on Computer Information Systems and Industrial Applications

A Vehicle Type Recognition Method based on Sparse Auto Encoder

Authors
H.L Rong, Y.X Xia
Corresponding Author
H.L Rong
Available Online June 2015.
DOI
10.2991/cisia-15.2015.88How to use a DOI?
Keywords
vehicle type recognition; sparse AutoEncoder; multi-level features fusing
Abstract

In recent years, feature learning methods based on unsupervised learning get more and more attention. Until now, Unsupervised feature learning has been applied to solve many problems such as detection, recognition and classification. In this paper, we propose a deep feature learning method based on Sparse AutoEncoder to recognize vehicle types and to improve the classification accuracy rate. First we used Sparse AutoEncoder to generate the convolutional kernel and used the convolutional kernel to generate convolutional feature. Then pooling was applied. We repeated the network several times to construct a deep feature learning framework. To improve performance, we also combined the feature learned in different layer to form a new feature vector and applied PCA to reduce the dimension. Finally we used softmax to recognize the vehicle type. Adopting the local receive field, we can reduce the parameters. The experiment shows that our method can improve the performance a little.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Computer Information Systems and Industrial Applications
Series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
10.2991/cisia-15.2015.88
ISSN
2352-538X
DOI
10.2991/cisia-15.2015.88How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - H.L Rong
AU  - Y.X Xia
PY  - 2015/06
DA  - 2015/06
TI  - A Vehicle Type Recognition Method based on Sparse Auto Encoder
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 323
EP  - 326
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.88
DO  - 10.2991/cisia-15.2015.88
ID  - Rong2015/06
ER  -