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International Conference on Intelligent Computing

ICIC 2019: Intelligent Computing Theories and Application pp 304–311Cite as

Convolutional Capsule-Based Network for Person Re-identification

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11643))

Abstract

Person re-identification is yet a critical challenging task in video surveillance domain. It aims to match the same person across different cameras. Practically, pedestrian’s appearances may vary greatly due to the complex background. Most deep learning methods rely on convolutional neural network to extract the feature of the pedestrian. But most of them lose the crucial details of the pedestrian and are sensitive to the viewpoints of the camera. To remedy this problem, we propose using capsule network as the feature extractor and introduce an improved loss function for the network. The experiment results on the Market-1501 dataset show the effectiveness of the proposed method.

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Acknowledgements

This work was supported by the grants of the National Science Foundation of China, Nos. 61672203, 61572447, 61772357, 31571364, 61861146002,61520106006, 61772370, 61702371, 61672382, and 61732012, China Post-doctoral Science Foundation Grant, No. 2017M611619, and supported by “BAGUI Scholar” Program and the Scientific & Technological Base and Talent Special Program, GuiKe AD18126015 of the Guangxi Zhuang Autonomous Region of China.

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Authors and Affiliations

  1. Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China

    Andong Li, Di Wu & De-Shuang Huang

  2. Collaborative Innovation Center of Intelligent New Energy Vehicle, Shanghai, China

    Lijun Zhang

  3. School of Automotive Studies, Tongji University, Shanghai, China

    Lijun Zhang

Authors
  1. Andong Li
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  2. Di Wu
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  3. De-Shuang Huang
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  4. Lijun Zhang
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Corresponding author

Correspondence to Andong Li .

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Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Polytechnic University of Bari, Bari, Italy

    Vitoantonio Bevilacqua

  3. University of Wollongong, North Wollongong, NSW, Australia

    Prashan Premaratne

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Li, A., Wu, D., Huang, DS., Zhang, L. (2019). Convolutional Capsule-Based Network for Person Re-identification. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theories and Application. ICIC 2019. Lecture Notes in Computer Science(), vol 11643. Springer, Cham. https://doi.org/10.1007/978-3-030-26763-6_29

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  • DOI: https://doi.org/10.1007/978-3-030-26763-6_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26762-9

  • Online ISBN: 978-3-030-26763-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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