Skip to main content
SpringerLink
Log in

Analysing Soft Clothing Biometrics for Retrieval

  • Conference paper
  • First Online:
Biometric Authentication (BIOMET 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8897))

Included in the following conference series:

Abstract

Soft biometrics continues to attract research interest. Traditional body and face soft biometrics have been the main research focus and have been proven, by many researchers, to be usable for identification and retrieval. Also, soft biometrics have been shown to provide several advantages over classic biometrics, such as invariance to illumination and contrast. Other than body and face, little attention has focussed on semantic descriptions of an individual, including clothing attributes. Research has yet to concern clothing characteristics as a major or complementary set of biometric traits. In this paper, we analyse the reliability and significance of clothing information for retrieval purposes. We investigate and rate the viability of semantic clothing descriptions to retrieve a subject correctly, given a verbal description of their clothing.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Reid, D., Nixon, M., Stevenage, S.: Soft Biometrics, Human Identification using Comparative Descriptions. IEEE Trans. PAMI (2014)

    Google Scholar 

  2. Thornton, J., Baran-Gale, J., Butler, D., et al.: Person attribute search for large-area video surveillance. In: IEEE Int. Conf. on Technologies for Homeland Security (HST) (2011)

    Google Scholar 

  3. Adjeroh, D., Deng, C., Piccirilli, M., et al.: Predictability and correlation in human metrology. In: IEEE Int. Workshop on Information Forensics and Security (WIFS) (2010)

    Google Scholar 

  4. Samangooei, S., Nixon, M.S.: Performing content-based retrieval of humans using gait biometrics. Multimedia Tools and Applications 49, 195–212 (2010)

    Article  Google Scholar 

  5. Niinuma, K., Park, U., Jain, A.K.: Soft biometric traits for continuous user authentication. IEEE Trans. on Information Forensics and Security (IFS) 5, 771–780 (2010)

    Article  Google Scholar 

  6. Jain, A.K., Park, U.: Facial marks: Soft biometric for face recognition. In: Proc. 16th IEEE International Conference on Image Processing (ICIP) (2009)

    Google Scholar 

  7. Park, U., Jain, A.K.: Face matching and retrieval using soft biometrics. IEEE Trans. on IFS 5, 406–415 (2010)

    Google Scholar 

  8. Tome, P., Fierrez, J., Vera-Rodriguez, R., et al.: Soft Biometrics and Their Application in Person Recognition at a Distance. IEEE Trans. on IFS (2014)

    Google Scholar 

  9. Vaquero, D.A., Feris, R.S., Tran, D., et al.: Attribute-based people search in surveillance environments. In: Workshop on Applications of Computer Vision (WACV). IEEE (2009)

    Google Scholar 

  10. Bossard, L., Dantone, M., Leistner, C., Wengert, C., Quack, T., Van Gool, L.: Apparel Classification with Style. In: Lee, K.M., Matsushita, Y., Rehg, J.M., Hu, Z. (eds.) ACCV 2012, Part IV. LNCS, vol. 7727, pp. 321–335. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  11. Wang, H., Bao, X., Choudhury, R.R., et al.: InSight: recognizing humans without face recognition. In: Proc. 14th Workshop on Mobile Computing Systems and Apps (2013)

    Google Scholar 

  12. Zhu, J., Liao, S., Lei, Z., et al.: Pedestrian Attribute Classification in Surveillance: Database and Evaluation. In: IEEE International Conference on Computer Vision (ICCV) (2013)

    Google Scholar 

  13. Layne, R., Hospedales, T.M., Gong, S.: Person Re-identification by Attributes. In: BMVC (2012)

    Google Scholar 

  14. Wang, Y.-F., Chang, E.Y., Cheng, K.P.: A video analysis framework for soft biometry security surveillance. In: Proc. 3rd ACM Int. Workshop on Video Surv. & Sensor Networks (2005)

    Google Scholar 

  15. Gallagher, A.C., Chen, T: Clothing cosegmentation for recognizing people. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2008)

    Google Scholar 

  16. Jaha, E.S., Nixon, M.S.: Soft Biometrics for Subject Identification using Clothing Attributes. In: IEEE International Joint Conference on Biometrics (IJCB) (2014)

    Google Scholar 

  17. Macleod, M.D., Frowley, J.N., Shepherd, J.W.: Whole body information: Its relevance to eyewitnesses. In: Adult eyewitness testimony: Current trends and developments (1994)

    Google Scholar 

  18. Shutler, J., Grant, M., Nixon, M.S., et al.: On a large sequence-based human gait database. In: RASC (2002)

    Google Scholar 

  19. Joachims, T.: Optimizing search engines using clickthrough data. In: Proc. 8th ACM SIGKDD Int. Conf. on Knowledge discovery and data mining (2002)

    Google Scholar 

  20. Parikh, D., Grauman, K.: Relative attributes. In: IEEE ICCV (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

    Emad Sami Jaha

  2. School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom

    Emad Sami Jaha & Mark S. Nixon

Authors
  1. Emad Sami Jaha
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mark S. Nixon
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Emad Sami Jaha .

Editor information

Editors and Affiliations

  1. University of Pavia, Pavia, Italy

    Virginio Cantoni

  2. Bulgarian Academy of Sciences, Sofia, Bulgaria

    Dimo Dimov

  3. University of Sassari, Alghero, Sassari, Italy

    Massimo Tistarelli

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Jaha, E.S., Nixon, M.S. (2014). Analysing Soft Clothing Biometrics for Retrieval. In: Cantoni, V., Dimov, D., Tistarelli, M. (eds) Biometric Authentication. BIOMET 2014. Lecture Notes in Computer Science(), vol 8897. Springer, Cham. https://doi.org/10.1007/978-3-319-13386-7_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-13386-7_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13385-0

  • Online ISBN: 978-3-319-13386-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation