Titlebook: Human-Computer Interaction; International Worksh Michael Lew,Nicu Sebe,Erwin M. Bakker Conference proceedings 2007 Springer-Verlag Berlin H

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叢林

A System for Hybrid Vision- and Sound-Based Interaction with Distal and Proximal Targets on Wall-Sing a mouse to interact can be inconvenient in this context, as it must be carried around and often requires a surface to be used. Even for devices that work in mid-air, accuracy when trying to hit small or distal targets becomes an issue. Ideally, the user should not need devices to interact with ap

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Real-Time Automatic Kinematic Model Building for Optical Motion Capture Using a Markov Random Fieldh no a priori information. Our approach solves marker tracking, the building of the kinematic model, and the tracking of the body simultaneously. The novelty lies in doing so through a unifying Markov random field framework, which allows the kinematic model to be built incrementally and in real-time

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Large Lexicon Detection of Sign Language, the hands through self occlusion in unconstrained video, instead opting to take a detection strategy, where patterns of motion are identified. It is demonstrated that detection can be achieved with only minor loss of accuracy compared to a perfectly tracked sequence using coloured gloves. The appro

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Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynaml muscle actions (Action Units, AUs) in terms of recognising their neutral, onset, apex and offset phases would greatly benefit application areas as diverse as medicine, gaming and security. The base system in this paper uses Support Vector Machines (SVMs) and a set of simple geometrical features de

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