Robust recognition of human behaviour in challenging environments

Navarathna, Rajitha Dharshana Bandara (2014) Robust recognition of human behaviour in challenging environments. PhD thesis, Queensland University of Technology.

Abstract

Novel techniques have been developed for the automatic recognition of human behaviour in challenging environments using information from visual and infra-red camera feeds. The techniques have been applied to two interesting scenarios: Recognise drivers' speech using lip movements and recognising audience behaviour, while watching a movie, using facial features and body movements. Outcome of the research in these two areas will be useful in the improving the performance of voice recognition in automobiles for voice based control and for obtaining accurate movie interest ratings based on live audience response analysis.

Impact and interest:

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Full-text downloads:

292 since deposited on 20 Jan 2014
65 in the past twelve months

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ID Code: 66235
Item Type: QUT Thesis (PhD)
Supervisor: Sridharan, Sridha & Fookes, Clinton
Keywords: Human Behaviour, Visual Information, Face Registration, Audience Engagement, Audio-Visual Automatic Speech Recognition, Fourier Active Appearance Models
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 20 Jan 2014 05:11
Last Modified: 07 Sep 2015 00:51

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