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- W1963518812 abstract "As augmented reality is advanced, more smart and sophisticated virtual environments are required. The purpose of the present work is to enable person in an interactive virtual environment to simultaneously and conveniently interact with virtual agents. In this paper, we propose a realtime system that track people in virtual environment robustly and recognize their action view-invariantly based on adaptive sensor fusion approach between laser scanner and video camera. To track the objects precisely, we match objects of video camera to the datum of laser scanner adaptively. Then we recognize human action view-invariantly based on a motion history image and a moving trajectory of objects. To evaluate the performance of the proposed system, we employed it augmented reality application where users can interact with a virtual pet, named cho-rong-i. The results confirm that reliable tracking is archived and persons' actions can be recognized for interactive virtual environment." @default.
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- W1963518812 date "2009-12-14" @default.
- W1963518812 modified "2023-10-18" @default.
- W1963518812 title "An adaptive sensor fusion based objects tracking and human action recognition for interactive virtual environments" @default.
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- W1963518812 doi "https://doi.org/10.1145/1670252.1670332" @default.
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