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An Improved Person Reidentification Method by Selective Convolutional Descriptor Aggregation

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International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018 (ATCI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 842))

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Abstract

Person re-identification (person re-ID) is refers to pedestrians matching under a multi camera network in a non-overlapping field of view, that is, whether the pedestrian targets taken by different cameras are the same. Therefore, person re-ID is also a sub problem of image retrieval. In this paper, fine grained image retrieval method SCDA (Selective Convolutional Descriptor Aggregation) is used in person re-ID, and the framework of identification-verification is improved. The method can select useful deep descriptors, at the same time, remove background by localizing the main object.

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Acknowledgments

This work was supported by the Scientific Research Fund of Hunan Provincial Education Department of China (Project No. 17A007); and the Teaching Reform and Research Project of Hunan Province of China (Project No. JG1615).

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Authors and Affiliations

  1. Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, Changsha University of Science and Technology, Changsha, 410114, China

    Shuren Zhou, Maolin Ke & Peng Luo

  2. School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, 410114, China

    Shuren Zhou, Maolin Ke & Peng Luo

Authors
  1. Shuren Zhou
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  2. Maolin Ke
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  3. Peng Luo
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Corresponding author

Correspondence to Shuren Zhou .

Editor information

Editors and Affiliations

  1. Faculty of Science, Engineering and Built Environment, Deakin University Geelong, Geelong, VIC, Australia

    Jemal Abawajy

  2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  3. School of Computing and Mathematics, Charles Sturt University, Albury, NSW, Australia

    Rafiqul Islam

  4. Tsinghua University, Beijing Shi, China

    Zheng Xu

  5. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

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Zhou, S., Ke, M., Luo, P. (2019). An Improved Person Reidentification Method by Selective Convolutional Descriptor Aggregation. In: Abawajy, J., Choo, KK., Islam, R., Xu, Z., Atiquzzaman, M. (eds) International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018. ATCI 2018. Advances in Intelligent Systems and Computing, vol 842. Springer, Cham. https://doi.org/10.1007/978-3-319-98776-7_37

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