Active vision techniques for visually mediated interaction
| Autor: | Hilary Buxton, A. Jonathan Howell |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Focus (computing)
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Facial recognition system Expression (mathematics) Gabor filter Gesture recognition Signal Processing Computer vision Computer Vision and Pattern Recognition Artificial intelligence Active vision Face detection business Gesture |
| Zdroj: | Image and Vision Computing. 20:861-871 |
| ISSN: | 0262-8856 |
| DOI: | 10.1016/s0262-8856(02)00095-1 |
| Popis: | In this paper, we introduce adaptive vision techniques used, for example, in video-conferencing applications. First, we present the recognition of identity, expression and head pose using radial basis function (RBF) networks. Second, we address gesture-based communication and attentional focus, using colour/motion cues to direct face detection and capture ‘attentional frames’. These focus the processing for visually mediated interaction via an appearance-based approach with Gabor filter coefficients used as input to time-delay RBF networks. Third, we present methods for the gesture recognition and behaviour (user-camera) coordination in an integrated system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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