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Pacific Rim Conference on Multimedia

PCM 2017: Advances in Multimedia Information Processing – PCM 2017 pp 773–782Cite as

Vehicle Verification Based on Deep Siamese Network with Similarity Metric

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10735))

Abstract

Vehicle verification is a challenging research problem with important practical applications. Most prior work focused on either feature learning or distance metric learning, which could not guarantee the compatibility of the learned feature and the distance metric. In this paper, we propose an end-to-end model based on the Siamese Convolutional Neural Network (CNN), which integrates distance metric learning and feature learning into a unified framework. The network is trained by contrastive loss and a similarity metric loss defined by joint Bayesian to learn more discriminative features for vehicle verification. The experimental results demonstrate the effectiveness of the proposed method.

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Acknowledgments

This work was supported in part by the Natural Science Foundation of China (NSFC) under Grant No. 61472038 and No. 61375044.

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Authors and Affiliations

  1. Beijing Lab of Intelligent Information, School of Computer Science, Beijing Institute of Technology, Beijing, 100081, China

    Qian Zhang, Mingtao Pei & Yunde Jia

  2. Department: Electrical and Computer Engineering, State University of New York at Albany, Albany, NY, 12222, USA

    Mei Chen

Authors
  1. Qian Zhang
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  2. Mingtao Pei
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  3. Mei Chen
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  4. Yunde Jia
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Corresponding author

Correspondence to Mingtao Pei .

Editor information

Editors and Affiliations

  1. University of Electronic Science and Technology of China, Chengdu, China

    Bing Zeng

  2. University of Chinese Academy of Sciences, Beijing, China

    Qingming Huang

  3. University of Ottawa, Ottawa, Ontario, Canada

    Abdulmotaleb El Saddik

  4. University of Electronic Science and Technology of China, Chengdu, China

    Hongliang Li

  5. Chinese Academy of Sciences, Beijing, China

    Shuqiang Jiang

  6. Harbin Institute of Technology, Harbin, China

    Xiaopeng Fan

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Cite this paper

Zhang, Q., Pei, M., Chen, M., Jia, Y. (2018). Vehicle Verification Based on Deep Siamese Network with Similarity Metric. In: Zeng, B., Huang, Q., El Saddik, A., Li, H., Jiang, S., Fan, X. (eds) Advances in Multimedia Information Processing – PCM 2017. PCM 2017. Lecture Notes in Computer Science(), vol 10735. Springer, Cham. https://doi.org/10.1007/978-3-319-77380-3_74

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  • DOI: https://doi.org/10.1007/978-3-319-77380-3_74

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77379-7

  • Online ISBN: 978-3-319-77380-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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