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    Chapter

    Atypical Facial Landmark Localisation with Stacked Hourglass Networks: A Study on 3D Facial Modelling for Medical Diagnosis

    While facial biometrics has been widely used for identification purpose, it has recently been researched as medical biometrics for a range of diseases. In this chapter, we investigate the facial landmark detec...

    Gary Storey, Ahmed Bouridane, Richard Jiang, Chang-Tsun Li in Deep Biometrics (2020)

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    Chapter

    Using Age Information as a Soft Biometric Trait for Face Image Analysis

    Soft biometrics refers to a group of traits that can provide some information about an individual but are inadequate for identification or recognition purposes. Age, as an important soft biometric trait, can b...

    Haoyi Wang, Victor Sanchez, Wanli Ouyang, Chang-Tsun Li in Deep Biometrics (2020)

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    Chapter

    Develo** Cloud-Based Intelligent Touch Behavioral Authentication on Mobile Phones

    Mobile devices especially mobile phones have become a major target for cyber-criminals, there is a great need to design appropriate authentication mechanisms to protect users’ private information. The majority...

    Zhi Lin, Weizhi Meng, Wenjuan Li, Duncan S. Wong in Deep Biometrics (2020)

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    Chapter

    Multi-, Hyper-Spectral Biometrics Modalities

    In this chapter, it will be introduced the different categories of multi-hyper-spectral imaging approaches for biometric modalities. Afterwards, indirect approach will be considered, namely: prerequisites conc...

    Mohsen Ardabilian, Abdel-Malek Zine, Shiwei Li in Hidden Biometrics (2020)

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    Chapter

    Person Re-identification with Soft Biometrics Through Deep Learning

    Re-identification of persons is usually based on primary biometric features such as their faces, fingerprints, iris or gait. However, in most existing video surveillance systems, it is difficult to obtain thes...

    Shan Lin, Chang-Tsun Li in Deep Biometrics (2020)

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    Chapter

    Leveraging Cloud-Based Resources for Automated Biometric Identification

    The rapid rise of cloud computing technology marks the next wave of enterprise information technology, catering up a market demand of a digitized economy to deliver traditional utilities such as electricity, g...

    Wei Lu, John Hancock, Benjamin Osowiecki in Biometric-Based Physical and Cybersecurity… (2019)

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    Chapter

    Time Series Modeling for Activity Prediction

    Human Motion Analysis (HMA) is a highly interdisciplinary research area which attracts great interests from computer vision, machine learning, multimedia, and medical research communities, due to the potential...

    Kang Li, Sheng Li, Yun Fu in Human Activity Recognition and Prediction (2016)

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    Chapter

    Actionlets and Activity Prediction

    The increasing ubiquitousness of multimedia information in today's world has positioned video as a favored information vehicle, and given rise to an astonishing generation of social media and surveillance foot...

    Kang Li, Yun Fu in Human Activity Recognition and Prediction (2016)