Download Advances in Intelligent IT - Active Media Technology 2006, by Y. Li, M. Looi, N. Zhong PDF

By Y. Li, M. Looi, N. Zhong

Within the nice electronic period, we're witnessing many quick clinical and technological advancements in human-centered, seamless computing environments, interfaces, units, and structures with functions starting from company and verbal exchange to leisure and studying. those advancements are jointly most sensible characterised as lively Media know-how (AMT), a brand new quarter of clever info know-how and machine technology that emphasizes the proactive, seamless roles of interfaces and platforms in addition to new media in all points of electronic existence. An AMT dependent computing device method bargains providers that let the swift layout, implementation, deploying and help of custom-made options. This booklet brings jointly papers from researchers from assorted parts, comparable to internet intelligence, facts mining, clever brokers, clever details use, networking and clever interface.IOS Press is a world technology, technical and clinical writer of fine quality books for lecturers, scientists, and execs in all fields. a number of the parts we submit in: -Biomedicine -Oncology -Artificial intelligence -Databases and data platforms -Maritime engineering -Nanotechnology -Geoengineering -All features of physics -E-governance -E-commerce -The wisdom financial system -Urban stories -Arms keep an eye on -Understanding and responding to terrorism -Medical informatics -Computer Sciences

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137-154. World Health Organization. (2001). International Classification of Functioning, Disability and Health. Geneva, Switzerland: Author. html Advances in Intelligent IT Y. Li et al. ) IOS Press, 2006 © 2006 The authors. All rights reserved. 31 A Fair Peer Selection Algorithm for an Ecommerce-Oriented Distributed Recommender System Li-Tung Weng, Yue Xu, Yuefeng Li and Richi Nayak School of Software Engineering and Data Communications Queensland University of Technology, QLD 4001, Australia Abstract.

Somers, Eds. New York: Marcel Dekker, 2000. Advances in Intelligent IT Y. Li et al. ) IOS Press, 2006 © 2006 The authors. All rights reserved. 25 A Head-Tracker Based on the Lucas-Kanade Optical Flow Algorithm Frank LOEWENICH and Frederic MAIRE School of Software Engineering and Data Communications, IT Faculty, Queensland University of Technology, 2 George Street, GPO Box 2434, Brisbane Q 4001, Australia Abstract. Technology is advancing at a rapid pace, automating many everyday chores in the process, changing the way we perform work and providing various forms of entertainment.

Figure 2. Head detection using the Haar Classifier Cascade algorithm. Accurate results are demonstrated in various lighting conditions. Green dots mark significant features identified by the Lucas-Kanade algorithm. 5. Lucas-Kanade Optical Flow: A Reliable Feature Tracking Algorithm The optical tracking component uses the pyramidal implementation of the LucasKanade optical flow algorithm, which first identifies and then tracks features in an image. These features are pixels whose spatial gradient matrices have a large enough F.

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