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Automatic Missing-Child Recovery System using Eigenfaces

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Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

During the festival seasons, the crowds in the shopping malls become eight to ten times more than regular times. To impress maximum number of customers, business owners offer discounts, arrange raffle draws, game competitions, and many other events. They decorate their showrooms with eye-catching banners and lighting effects. These excellent marketing strategies work and increase customers’ engagements. However, the curious minds of children are attracted by these events more than those of adults. As a result, missing children in the shopping malls have become a common incident during festival seasons. Whenever a child is missing, shopping mall managements announce it though central sound system and normally if the people see the missing child, they bring it back to mall management’s office and the officials hand it over to the parents. This method depends on the generosity of the people and does not guarantee the return of the child. Moreover, the children kidnappers can take advantage of the announcement of missing child. In this paper, we are proposing a method that depends on eigenfaces which is fast, efficient yet simple to implement and ensure the recovery of the missing children in shortest possible time.

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References

  1. Thomas GR, Joseph MP, Albert KW, Juthamas T (2010) The measurement and conceptualization of curiosity. J Genet Psychol Res Theory Hum Dev 2(167):117–135

    Google Scholar 

  2. Penney RK, McCann B (1964) The children’s reactive curiosity scale. SAGE JS Psychol Rep 1(15):323–334

    Article  Google Scholar 

  3. Jamie LR, Mary WM (2000) Fear and anxiety: divergent effects on human pain thresholds. Sci Direct 1(84):65–75

    Google Scholar 

  4. Lawrence S, Giles CL, Tsoi AC, Back AD (1997) Face recognition: a convolutional neural-network approach. IEEE Trans Neural Netw 1(8):89–113

    Google Scholar 

  5. Bledsoe WW (1964) The model method in facial recognition. Panoramic Research Inc, Palo Alto. (PRI:15)

    Google Scholar 

  6. Kanade T (1973) Picture processing system by computer complex and recognition of human faces. Department of Information Science

    Google Scholar 

  7. Carey S, Diamond R (1977) From piecemeal to configurational representation of faces. Science 195:312–313. (21 Jan1977)

    Google Scholar 

  8. Turk MA, Pentland AP (1991) Face recognition using eigenfaces. In Proceedings of 1991 IEEE computer society conference on computer vision and pattern recognition, Maui, HI, USA. (3–6 June 1991)

    Google Scholar 

  9. Sirovich L, Kirby M (1987) Low-dimensional procedure for the characterization of human faces. J Opt Soc Am A 4(3):519–524

    Article  Google Scholar 

  10. Sahani M, Nanda C, Sahu AK, Pattnaik B (2015) Web-based online embedded door access control and home security system based on face recognition. In International conference on circuits, power and computing technologies [ICCPCT-2015], Nagercoil, India. (19–20 March 2015)

    Google Scholar 

  11. Wagh P, Thakare R, Chaudhari J, Patil S (2015) Attendance system based on face recognition using eigen face and PCA algorithms. In: International conference on green computing and internet of things (ICGCIoT), Noida, India. (8–10 Oct 2015)

    Google Scholar 

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Correspondence to Nuruzzaman Faruqui .

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Faruqui, N., Yousuf, M.A. (2020). Automatic Missing-Child Recovery System using Eigenfaces. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-3607-6_11

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