Fine-grained vehicle recognition by deep Convolutional Neural Network

Kun Huang; Bailing Zhang

doi:10.1109/CISP-BMEI.2016.7852756

Fine-grained vehicle recognition by deep Convolutional Neural Network

Kun Huang, Bailing Zhang

School of Advanced Technology

Xi'an Jiaotong-Liverpool University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

13 Citations (Scopus)

Abstract

Vehicle recognition has been an important topic in intelligent transportation. However, to recognize different vehicle models from a same make is difficult as there are many near-identical cars under different brand names. In this paper, we investigated fine-grained vehicle recognition via deep Convolutional Neural Network (CNN). Vehicle and the corresponding parts are localized with the help of Region-based Convolutional Neural Networks (RCNN) and their features from a set of pre-trained CNNs are aggregated to train a SVM classifier. We created a fine-grained vehicle dataset and performed subsequent experiments, with preliminary results showing the potentials of the method.

Original language	English
Title of host publication	Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	465-470
Number of pages	6
ISBN (Electronic)	9781509037100
DOIs	https://doi.org/10.1109/CISP-BMEI.2016.7852756
Publication status	Published - 13 Feb 2017
Event	9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016 - Datong, China Duration: 15 Oct 2016 → 17 Oct 2016

Publication series

Name	Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016

Conference

Conference	9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016
Country/Territory	China
City	Datong
Period	15/10/16 → 17/10/16

Keywords

Fine-grained vehicle recognition
Region-based Convolutional Neural Networks
part detection

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10.1109/CISP-BMEI.2016.7852756

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Huang, K., & Zhang, B. (2017). Fine-grained vehicle recognition by deep Convolutional Neural Network. In Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016 (pp. 465-470). Article 7852756 (Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISP-BMEI.2016.7852756

Huang, Kun ; Zhang, Bailing. / Fine-grained vehicle recognition by deep Convolutional Neural Network. Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 465-470 (Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016).

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title = "Fine-grained vehicle recognition by deep Convolutional Neural Network",

abstract = "Vehicle recognition has been an important topic in intelligent transportation. However, to recognize different vehicle models from a same make is difficult as there are many near-identical cars under different brand names. In this paper, we investigated fine-grained vehicle recognition via deep Convolutional Neural Network (CNN). Vehicle and the corresponding parts are localized with the help of Region-based Convolutional Neural Networks (RCNN) and their features from a set of pre-trained CNNs are aggregated to train a SVM classifier. We created a fine-grained vehicle dataset and performed subsequent experiments, with preliminary results showing the potentials of the method.",

keywords = "Fine-grained vehicle recognition, Region-based Convolutional Neural Networks, part detection",

author = "Kun Huang and Bailing Zhang",

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language = "English",

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Huang, K & Zhang, B 2017, Fine-grained vehicle recognition by deep Convolutional Neural Network. in Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016., 7852756, Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016, Institute of Electrical and Electronics Engineers Inc., pp. 465-470, 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016, Datong, China, 15/10/16. https://doi.org/10.1109/CISP-BMEI.2016.7852756

Fine-grained vehicle recognition by deep Convolutional Neural Network. / Huang, Kun; Zhang, Bailing.
Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 465-470 7852756 (Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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KW - part detection

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Huang K, Zhang B. Fine-grained vehicle recognition by deep Convolutional Neural Network. In Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 465-470. 7852756. (Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016). doi: 10.1109/CISP-BMEI.2016.7852756

Fine-grained vehicle recognition by deep Convolutional Neural Network

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