Robust recognition of human behaviour in challenging environments
Data(s) |
2014
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Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Publicador |
Queensland University of Technology |
Relação |
http://eprints.qut.edu.au/66235/1/Rajitha%20Dharshana%20Bandara_Navarathna_Thesis.pdf Navarathna, Rajitha Dharshana Bandara (2014) Robust recognition of human behaviour in challenging environments. PhD thesis, Queensland University of Technology. |
Fonte |
School of Electrical Engineering & Computer Science; Institute for Future Environments; Science & Engineering Faculty |
Palavras-Chave | #Human Behaviour #Visual Information #Face Registration #Audience Engagement #Audio-Visual Automatic Speech Recognition #Fourier Active Appearance Models |
Tipo |
Thesis |