By Sebe N., Lew M.S., Huang T.S.
This booklet constitutes the refereed court cases of the overseas Workshop on Human-Computer interplay, HCI 2004, held at ECCV 2004 in Prague, Czech Republic in could 2004.The 19 revised complete papers offered including an introductory evaluation and an invited paper have been rigorously reviewed and chosen from forty five submissions. The papers are equipped in topical sections on human-robot interplay, gesture attractiveness and physique monitoring, platforms, and face and head.
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Extra resources for Computer vision in human-computer interaction
In real-time testing, at each step SAIL (placed in a lab) has 3 action choices: turn its neck left, turn its neck right and stay. Totally, there are 7 absolute positions of its neck. Center is position 0, and from left to right is position -3 to 3. Because there is a lot of noise in real-time testing (people come in and come out), we restricted the number of states by applying a Gaussian mask to image input after subtracting the image mean. The dimension of the input image is 30 × 40 × 3 × 2, where 3 arises from RGB colors and 2 for 2 eyes.
Proceedings 2001 ICRA. IEEE International Conference on, Vol. 3, pp. 2596-2601, 2001  M. T. Hagan, M. Menhaj. “Training feedforward networks with the Marquardt algorithm”, IEEE Transactions on Neural Networks, Vol. 5, no. 6, pp. 989-993, 1994.  Y. Ming-Hsuan, N. Ahuja. “Extracting gestural motion trajectories ”, Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on, pp. 10-15, 14-16 April 1998  N. Shimada, K. Kimura, Y. Shirai, Y. Kuno. “Hand posture estimation by combining 2-D appearance-based and 3-D model-based approaches”, Pattern Recognition, 2000.
McClelland, A. Pentland, O. Sporns, I. Stockman, M. Sur, and E. Thelen. Autonomous mental development by robots and animals. Science, 291:599– 600, 2000.  S. Zrehen and P. Gaussier. Buidling grounded symbols for localization using motivations. In The fourth European Conference on Artificial Life, Brighton, UK, July 28-31, 1997. de Abstract. In this paper, we present our approach for visual tracking of head, hands and head orientation. Given the images provided by a calibrated stereo-camera, color and disparity information are integrated into a multi-hypotheses tracking framework in order to find the 3D-positions of the respective body parts.