Download Computer Vision in Human-Computer Interaction: ECCV 2004 by Nicu Sebe, Michael S. Lew, Thomas S. Huang PDF

By Nicu Sebe, Michael S. Lew, Thomas S. Huang

This publication constitutes the refereed court cases of the foreign Workshop on Human-Computer interplay, HCI 2004, held at ECCV 2004 in Prague, Czech Republic in may well 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 geared up in topical sections on human-robot interplay, gesture attractiveness and physique monitoring, platforms, and face and head.

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Weng. Hierarchical discriminat regression. IEEE Trans. on Patten Analysis and Machine Intelligence, 22(11):1277–1293, 1999. [4] S. Kiesler and P. Hinds. Introduction to this special issue on human-robot interaction. Journal of Human-Computer Interaction, 19(1), 2004. [5] C. Koch and S. Ullman. Shifts in selective visual attention towards the underlying neural circuitry. Human Neurobiology, 4:219–227, 1985. [6] O. Sporns. Modeling development and learning in autonomous devices. In Workshop on Development and Learning, pages 88-94, E.

A. Becker. Sensei: A Real-Time Recognition, Feedback and Training System for T’ai Chi Gestures. M. I. T. Media Lab Perceptual Computing Group Technical Report No. 426, 1997. [9] A. D. Wilson and A. F. Bobick. Recognition and Interpretation of Parametric Gesture. Intl. Conference on Computer Vision ICCV, 329-336, 1998. [10] N. Jojic, B. Brumitt, B. Meyers, S. Harris, and T. Huang. Detection and Estimation of Pointing Gestures in Dense Disparity Maps. IEEE International Conference on Automatic Face and Gesture Recognition, Grenoble, France, 2000.

The six dynamic gestures on the left side are used for low-level commands while the three static gestures on the right side initiate more complex behaviours. A state machine ensures the platform reacts coherently and smoothly to the commands issued by the operator. This is illustrated in Figure 1(b) where v and w represent translation and rotation speeds respectively. Dashed lines correspond to optional states and transitions. The gesture command protocol can be installed onto any type of mobile platform; however, it is sometimes impossible for a given platform to be in certain states (a car-like steered platform, for example, cannot turn on itself with a null translational speed while a skid-steer platform can).

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