Abstract
The analysis of the gaze direction has many applications. Most of the proposed techniques need special devices to estimate the gaze direction, but, in practice, the high cost of these devices prevents a widespread use. For this reason, the research in this field is currently focused on the development of techniques that work with low-cost devices. In this paper, we present a novel approach to perform a directional gaze analysis from webcam video sequences. This approach is based on well-known segmentation and pattern recognition techniques. It is fully automatic since it does not need user interaction and it can be applied in real time. We also present preliminary results that prove the efficiency and accuracy of the proposed methodology.
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Vivero, V., Barreira, N., Penedo, M.G., Cabrero, D., Remeseiro, B. (2010). Directional Gaze Analysis in Webcam Video Sequences. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2010. Lecture Notes in Computer Science, vol 6112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13775-4_32
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DOI: https://doi.org/10.1007/978-3-642-13775-4_32
Publisher Name: Springer, Berlin, Heidelberg
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