Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human motion analysis: a review
Computer Vision and Image Understanding
The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-Camera Multi-Person Tracking for EasyLiving
VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
Intelligent video surveillance system: 3-tier context-aware surveillance system with metadata
Multimedia Tools and Applications
Multimedia Tools and Applications
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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.