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Comparative Study on Person Re-identification Using Color and Shape Features-Based Body Part Matching

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Recent Trends in Communication, Computing, and Electronics

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 524))

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Abstract

Researches on person re-identification have become more prevalent as a core technique in visual surveillance systems. While a large volume of person re-identification (Re-ID) methods adopt experimental settings with a large patch size, relatively small ones are not much considered. Thus, this work focuses on investigating comparison of person Re-ID performance when color and shape features-based are adopted for small patch size images with low resolution. First, the deep decompositional network is used to divide the person into upper and lower body parts. Then, color and shape features are extracted. Finally, using single or combination of features, similarity-based ranked matching scores are computed. The person Re-ID performance is evaluated based on VIPeR dataset. From the experiment results, we found that color-based feature is better than shape-based features, and the combination of color and shape features-based can be meaningful.

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Acknowledgements

This work was supported by the ICT R&D program of MSIP/IITP [B0101-16-0525, Development of global multi-target tracking and event prediction techniques based on real-time large-scale video analysis], and the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A1B03036423) and the Brain Research Program through the NRF funded by the Ministry of Science, ICT & Future Planning (NRF-2016M3C7A1905477).

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Authors and Affiliations

  1. School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, 61005, Korea

    Sejeong Lee & Moongu Jeon

  2. Biomedical Research Institute, Seoul National University Hospital (SNUH), Seoul, 03080, Korea

    Jeonghwan Gwak

  3. Department of Radiology, Seoul National University Hospital (SNUH), Seoul, 03080, Korea

    Jeonghwan Gwak

  4. Centre of Computer Education, Institute of Professional Studies, University of Allahabad, Allahabad, India

    Om Prakash

  5. Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat, India

    Manish Khare

  6. Department of Electronics and Communication, University of Allahabad, Allahabad, Uttar Pradesh, India

    Ashish Khare

Authors
  1. Sejeong Lee
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  2. Jeonghwan Gwak
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  3. Om Prakash
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  4. Manish Khare
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  5. Ashish Khare
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  6. Moongu Jeon
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Corresponding authors

Correspondence to Jeonghwan Gwak or Moongu Jeon .

Editor information

Editors and Affiliations

  1. University of Allahabad, Allahabad, India

    Ashish Khare

  2. Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India

    Uma Shankar Tiwary

  3. Oakland University, Rochester, MI, USA

    Ishwar K. Sethi

  4. University of Allahabad, Allahabad, Uttar Pradesh, India

    Nar Singh

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Lee, S., Gwak, J., Prakash, O., Khare, M., Khare, A., Jeon, M. (2019). Comparative Study on Person Re-identification Using Color and Shape Features-Based Body Part Matching. In: Khare, A., Tiwary, U., Sethi, I., Singh, N. (eds) Recent Trends in Communication, Computing, and Electronics. Lecture Notes in Electrical Engineering, vol 524. Springer, Singapore. https://doi.org/10.1007/978-981-13-2685-1_30

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  • DOI: https://doi.org/10.1007/978-981-13-2685-1_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2684-4

  • Online ISBN: 978-981-13-2685-1

  • eBook Packages: EngineeringEngineering (R0)

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