Human Body Part Classification and Activity Recognition for Real-Time Systems

Burak Ozer; Tiehan Lv; Wayne Wolf

doi:10.4018/978-1-59140-553-5.ch238

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Human Body Part Classification and Activity Recognition for Real-Time Systems

Burak Ozer (Verificon Corp., USA), Tiehan Lv (Princeton University, USA) and Wayne Wolf (Princeton University, USA)

Source Title: Encyclopedia of Information Science and Technology, First Edition

DOI: 10.4018/978-1-59140-553-5.ch238

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Abstract

Recent advances in camera and storage systems along with increased algorithmic and computational power of 3D graphics hardware are main factors driving the increased popularity of multicamera applications. Since prices continue to drop on components, cost-effective systems can be developed for a wide range of applications such as teleimmersion, humanoid robots systems, automated video surveillance, and interactive video games.

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Human Body Part Classification and Activity Recognition for Real-Time Systems

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