Recognition of Human Head Orientation Based on Artificial Neural Networks

Rae R, Ritter H (1998)
IEEE Transactions on Neural Networks 9(2): 257-265.

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Humans easily recognize where another person is looking and often use this information for interspeaker coordination. We present a method based on three neural networks of the local linear map type which enables a computer to identify the head orientation of a user by learning from examples. One network is used for color segmentation, a second for localization of the face, and the third for the final recognition of the head orientation. The system works at a frame rate of one image per second on a common workstation, We analyze the accuracy achieved at different processing steps and discuss the usability of the approach in the context of a visual human-machine interface.
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Rae R, Ritter H. Recognition of Human Head Orientation Based on Artificial Neural Networks. IEEE Transactions on Neural Networks. 1998;9(2):257-265.
Rae, R., & Ritter, H. (1998). Recognition of Human Head Orientation Based on Artificial Neural Networks. IEEE Transactions on Neural Networks, 9(2), 257-265.
Rae, R., and Ritter, H. (1998). Recognition of Human Head Orientation Based on Artificial Neural Networks. IEEE Transactions on Neural Networks 9, 257-265.
Rae, R., & Ritter, H., 1998. Recognition of Human Head Orientation Based on Artificial Neural Networks. IEEE Transactions on Neural Networks, 9(2), p 257-265.
R. Rae and H. Ritter, “Recognition of Human Head Orientation Based on Artificial Neural Networks”, IEEE Transactions on Neural Networks, vol. 9, 1998, pp. 257-265.
Rae, R., Ritter, H.: Recognition of Human Head Orientation Based on Artificial Neural Networks. IEEE Transactions on Neural Networks. 9, 257-265 (1998).
Rae, Robert, and Ritter, Helge. “Recognition of Human Head Orientation Based on Artificial Neural Networks”. IEEE Transactions on Neural Networks 9.2 (1998): 257-265.
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