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Biometrics for Surveillance

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Introduction to Intelligent Surveillance

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Abstract

Our human always bring biometric information such as face, fingerprints, palms, and iris; no matter where we are, but biometric is discriminative from one to another which has essential and unique characteristics. In this chapter, we will introduce algorithms of surveillance data analytics, especially using biometric features, and critically compare and evaluate the major algorithms of biometrics for digital surveillance. At the end of this chapter, human privacy and ethics issues will be taken into consideration Adams, Ferryman (Secur J 28(3):272–289, 2012), Bowyer (IEEE Technol Soc 23(1):9–19, 2004).

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  1. Department of Computer Science, Auckland University of Technology, Auckland, New Zealand

    Wei Qi Yan

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  1. Wei Qi Yan
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Yan, W.Q. (2019). Biometrics for Surveillance. In: Introduction to Intelligent Surveillance. Texts in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-030-10713-0_5

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  • DOI: https://doi.org/10.1007/978-3-030-10713-0_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-10712-3

  • Online ISBN: 978-3-030-10713-0

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