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The Role of Perception in Age Estimation

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Book cover Digital Forensics and Cyber Crime (ICDF2C 2011)

Abstract

Law enforcement is increasingly called upon to investigate child exploitation crimes, a task that involves the important task of estimating the age of depicted children. There is limited research into our ability to perceive adult versus child and to more specifically estimate the age of a child based upon an image. There are few training programs available and lack of uniform methodology for child age estimation. A more stable foundation can be found through input from multidisciplinary fields in science and Art. The results of surveys and review of multidisciplinary literature indicate that the human ability to perceive the difference between juvenile and adult is a not just a matter of common sense, but a hardwired, preconscious condition of human experience based upon perceptual cues, and further, indicates a normative ability to make reasonably accurate age estimations based upon facial features and proportion when provided with an evaluative framework.

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References

  1. Schmeling, A., Black, S.: An Introduction to the History of Age Estimation in the Living. In: Black, J.S., Aggrawal, A. (eds.), John Wiley & Sons, Chichester (2010)

    Google Scholar 

  2. Wikipedia. Melissa-Ashley, http://en.wikipedia.org/wiki/Melissa_Ashley

  3. Wikipedia. Lupe Fuentes, http://en.wikipedia.org/wiki/Little_Lupe

  4. Wikipedia. Traci Lords, http://en.wikipedia.org/wiki/Traci_Lords

  5. Sun, S., et al.: National Estimates of the Timing of Sexual Maturation and Racial Differences Among US Children. Pediatrics 5(110), 911–919 (2002)

    Article  Google Scholar 

  6. United States v. Katz, 178 F.3d 368. 5th Circuit (1999)

    Google Scholar 

  7. Cooper, S.: Effective Use of the Medical Expert in Child Pornography Cases. US Atty’s Bulletin: Child Protection, Exploitation, and Obscenity 2(52), 33–40 (2004)

    Google Scholar 

  8. State of Wisconsin v. Gordon Sussman. State of Wisconsin, Dane County Circuit Court (2003)

    Google Scholar 

  9. Pomerantz, J.R.: Perception: Overview in Encyclopedia of Cognitive Science, pp. 527–537. Nature Publishing Group, London (2003)

    Google Scholar 

  10. Lorenz, K.: Die angeborenen Formen möglicher Erfahrung. Zeitschrift für Tierpsychologie 5, 233–409 (1943)

    Google Scholar 

  11. Sprengelmeyer, et al.: The Cutest Little Baby Face: A Hormonal Link to Sensitivity to Cuteness in Infant Faces. Psychological Science 2(20), 149–154 (2009)

    Article  Google Scholar 

  12. Peck, S.: Atlas of Human Anatomy for the Artist. Oxford University Press, NY (1951)

    Google Scholar 

  13. Dace, M.: The Geometry and Algebra of the Child, http://www.dace.co.uk/proportion_child.html (2006)

  14. Bogin, B., et al.: Leg Length, Body Proportion, and Health: A Review with a Note on Beauty. International Journal of Environmental Research and Public Health 7, 1047–1075 (2010)

    Article  Google Scholar 

  15. Cattaneo, et al.: The Difficult Issue of Age Assessment on Pedo-Pornographic Material. Forensic Science International 183, e21–e24 (2009)

    Article  Google Scholar 

  16. Ramanathan, N., et al.: Age Progression in Human Faces: A Survey. In: IJVLC, Special Issue on Advances in Multimodal Biometric Systems (2009)

    Google Scholar 

  17. Ramanathan, N., Chellappa, R.: Recognizing Faces Across Age Progression. In: Multi- Biometric Systems for Identity Recognition: Theory and Experiments. Springer (2006)

    Google Scholar 

  18. Lanitis, A.: Facial Age Estimation. Scholarpedia 1(5), 9701 (2010)

    Article  Google Scholar 

  19. Rhodes, M.: Age Estimation of Faces: A Review. Applied Cognitive Psychology 23, 1–12 (2008)

    Article  Google Scholar 

  20. Geng, X., Zhou, Z., Smith-Miles, K.: Automatic Age Estimation Based on Facial Aging Patterns. In: IEEE TPAMI, pp. 2234–2240 (2007)

    Google Scholar 

  21. Bahrick, L., Hernandez-Reif, M.: Intermodal Perception of Adult and Child Faces and Voices by Infants. Child Development 5(69), 1263–1275 (1998)

    Article  Google Scholar 

  22. Stein, M.: A Specific and Rapid Neural Signature for Parental Instinct. Plos One 2(3), 1–7 (2008)

    Google Scholar 

  23. Kazuya, U., Sugiyama, M., Ihara, Y.: A Semi-supervised Approach to Perceived Age Prediction from Face Images. IEICE Transactions on Information and Systems, 2875–2878 (2010)

    Google Scholar 

  24. Busis, H.: http://popwatch.ew.com/2011/06/17/muppet-baby-coolest (2011)

  25. The Muppets, http://muppet.wikia.com/wiki/The_Muppet_Show (2011)

  26. Madonna and Child on a Curved Throne, Byzantine, 13th Century, Andrew W. Mellon Collection, National Gallery of Art (January 1, 1937)

    Google Scholar 

  27. Williams, D.G.: ageprogression1.jpg, ageprogression2.jpg, Madison, WI (2010) (unpublished)

    Google Scholar 

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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Murphy, C.A. (2012). The Role of Perception in Age Estimation. In: Gladyshev, P., Rogers, M.K. (eds) Digital Forensics and Cyber Crime. ICDF2C 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 88. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35515-8_1

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  • DOI: https://doi.org/10.1007/978-3-642-35515-8_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35514-1

  • Online ISBN: 978-3-642-35515-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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