Skip to main content
SpringerLink
Log in

Person Re-identification Using Masked Keypoints

  • Conference paper
  • First Online:
Recent Trends and Future Technology in Applied Intelligence (IEA/AIE 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10868))

  • 3053 Accesses

Abstract

In this work, a method for person re-identification from surveillance videos is proposed. In this approach, person detection is based on moving objects from sequences of images, and on incorporating a feature extraction technique that can distinguish distinct persons according to their physical appearance by using masked images that reduce noise from the background. Our approach uses keypoints to build an image’s descriptor so that the best discriminative keypoints can be identified between different persons. Experiments using our masked re-identification method show significant improvements in the recognition rate when masked frames are used to reduce noise of the second plane.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://homepages.inf.ed.ac.uk/rbf/CAVIAR/.

  2. 2.

    http://homepages.inf.ed.ac.uk/rbf/CAVIAR.

References

  1. Bauml, M., Stiefelhagen, R.: Evaluation of local features for person re-identification in image sequences. In: 10th IEEE International Conference on Advanced Video and Signal-Based Surveillance, Klagenfurt, Austria (2011)

    Google Scholar 

  2. Bazzani, L., Cristani, M., Perina, A., Murino, V.: Multiple-shot person re-identification by chromatic and epitomic analyses. Pattern Recogn. Lett. 33(7), 898–903 (2012). Special Issue on Awards from ICPR 2010

    Article  Google Scholar 

  3. Cheng, D.S., Cristani, M.: Person re-identification by articulated appearance matching. In: Gong, S., Cristani, M., Yan, S., Loy, C.C. (eds.) Person Re-Identification. ACVPR, pp. 139–160. Springer, London (2014). https://doi.org/10.1007/978-1-4471-6296-4_7

    Chapter  Google Scholar 

  4. Farenzena, M., Bazzani, L., Perina, A., Murino, V., Cristani, M.: Person re-identification by symmetry-driven accumulation of local features. In: IEEE Computer Vision and Pattern Recognition, San Francisco, CA (2010)

    Google Scholar 

  5. Hamdoun, O., Moutarde, F., Stanciulescu, B., Steux, B.: Person re-identification in multi-camera system by signature based on interest point descriptors collected on short video sequences. In: Second ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), pp. 1–6 (2008)

    Google Scholar 

  6. Karanam, S., Yang, L., Richard, J.: Person re-identification with discriminatively trained viewpoint invariant dictionaries. In: IEEE International Conference on Computer Vision (2015)

    Google Scholar 

  7. Khedher, M., El-Yacoubi, M., Dorizzi, B.: Fusion of appearance and motion-based sparse representations for multi-shot person re-identification. Neurocomputing 248, 94–104 (2017)

    Article  Google Scholar 

  8. Kviatkovsky, I., Adam, A., Rivlin, E.: Color invariants for person re-identification. IEEE Trans. Pattern Anal. Mach. Intell. 35, 1622–1634 (2013)

    Article  Google Scholar 

  9. Lisanti, G., Masi, I., Bagdanov, A., Del Bimbo, A.: Person re-identication by iterative re-weighted sparse ranking. IEEE Trans. Pattern Anal. Mach. Intell. 37, 1629–1642 (2015)

    Article  Google Scholar 

  10. Liu, C., Gong, S., Loy, C.C., Lin, X.: Person re-identification: what features are important? In: Fusiello, A., Murino, V., Cucchiara, R. (eds.) ECCV 2012. LNCS, vol. 7583, pp. 391–401. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-33863-2_39

    Chapter  Google Scholar 

  11. Mazzon, R., Tahir, S., Syed, F., Cavallaro, A.: Person re-identification in crowd. Pattern Recogn. Lett. 33(14), 1828–1837 (2012)

    Article  Google Scholar 

  12. Munaro, M., Ghidoni, S., Tartaro, D., Menegatti, E.: A feature-based approach to people re-identification using skeleton keypoints. In: IEEE International Conference on Robotics and Automation, Hong Kong, China (2014)

    Google Scholar 

  13. Pedagadi, S., Orwell, J., Velastin, S., Boghossian, B.: Local fisher discriminant analysis for pedestrian re-identification. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3318–3325, June 2013

    Google Scholar 

  14. Xiao, L., Mingli, S., Dacheng, T., Xingchen, Z., Chen, C., Jiajun, B.: Semi-supervised coupled dictionary learning for person re-identification. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3550–3557, June 2014

    Google Scholar 

  15. Zheng, W., Gong, S., Xiang, T.: Reidentification by relative distance comparison. IEEE Trans. Pattern Anal. Mach. Intell. 35(3), 653–668 (2013)

    Article  Google Scholar 

Download references

Acknowledgements

This research was supported by FONDECYT (Chile) under grant number 1170002: “An effective Linguistically-motivated computational model for opinion retrieval in sentiment analysis tasks”.

Author information

Authors and Affiliations

  1. Universidad Adolfo Ibañez, Santiago, Chile

    Diego Reyes & John Atkinson

Authors
  1. Diego Reyes
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. John Atkinson
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to John Atkinson .

Editor information

Editors and Affiliations

  1. University of Regina, Regina, SK, Canada

    Malek Mouhoub

  2. University of Regina, Regina, SK, Canada

    Samira Sadaoui

  3. Concordia University, Montreal, QC, Canada

    Otmane Ait Mohamed

  4. Texas State University, San Marcos, TX, USA

    Moonis Ali

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Reyes, D., Atkinson, J. (2018). Person Re-identification Using Masked Keypoints. In: Mouhoub, M., Sadaoui, S., Ait Mohamed, O., Ali, M. (eds) Recent Trends and Future Technology in Applied Intelligence. IEA/AIE 2018. Lecture Notes in Computer Science(), vol 10868. Springer, Cham. https://doi.org/10.1007/978-3-319-92058-0_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-92058-0_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92057-3

  • Online ISBN: 978-3-319-92058-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation