Beau Tydd

Gold Coast, Queensland, Australia Contact Info
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About

Executive with expertise in board advisory, executive leadership, and driving innovation…

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Experience & Education

  • Feros Care

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Publications

  • Deep Residual Learning for Analyzing Customer Satisfaction using Video Surveillance

    2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)

    Measuring customer satisfaction based on facial expressions from video surveillance can potentially support real-time analysis. We propose the use of deep residual network (ResNet), which has been a widely used for many image recognition tasks, but not in the context of recognizing facial expressions in video surveillance. A key challenge in collecting video surveillance data in an airport context is to achieve a balanced distribution of all emotions, as most of passengers' faces are either…

    Measuring customer satisfaction based on facial expressions from video surveillance can potentially support real-time analysis. We propose the use of deep residual network (ResNet), which has been a widely used for many image recognition tasks, but not in the context of recognizing facial expressions in video surveillance. A key challenge in collecting video surveillance data in an airport context is to achieve a balanced distribution of all emotions, as most of passengers' faces are either neutral or happy. To solve this issue, there is no existing work that has established the feasibility of using datasets from different domains to train the model. This paper is the first in investigating the benefits of using residual training approach and adopt a pre-trained network from similar tasks to reduce training time. Based on comprehensive experiments, which compare domain-specific, cross-domain and mixed domain training and testing approaches, we confirm the value of augmenting datasets from different domains (CK+, JAFFE, AffectNet) for the surveillance domain. DOI: 10.1109/AVSS.2018.8639478 https://ieeexplore.ieee.org/abstract/document/8639478

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Honors & Awards

  • Fellow - Australian Computer Society (ACS)

    Australian Computer Society (ACS)

    A Fellow of ACS is a person who has made a distinguished contribution to the field of ICT in Australia and is a member of the professional division of ACS.

  • ICT Professional of the Year

    SEARCC - South East Asia Regional Computer Confederation

    SEARCC - International ICT Professional of the Year

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