Video arrays for real-time tracking of person, head, and face in an intelligent room
Machine Vision and Applications - Special issue: Omnidirectional vision and its applications
Real-time cooperative multi-target tracking by communicating active vision agents
Computer Vision and Image Understanding
Panoramic stereo reconstruction using non-SVP optics
Computer Vision and Image Understanding
Human behavior recognition using unconscious cameras and a visible robot in a network robot system
Robotics and Autonomous Systems
VAMBAM: view and motion -based aspect models for distributed omnidirectional vision systems
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Real-time cooperative multi-target tracking by communicating active vision agents
Computer Vision and Image Understanding
Panoramic stereo reconstruction using non-SVP optics
Computer Vision and Image Understanding
Detecting moving objects with an omnidirectional camera based on adaptive background subtraction
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Single camera stereo system using prism and mirrors
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Intelligent multi-camera video surveillance: A review
Pattern Recognition Letters
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In recent years, various practical systems using multiple vision sensors have been proposed. In this paper, as an application of such vision systems, we propose a real-time human tracking system consisting of multiple omnidirectional vision sensors (ODVSs). The system measures people's locations by N-ocular stereo, which is an extension of trinocular stereo, from omnidirectional images taken with the ODVSs. In addition, the system employs several compensation methods for observation errors in order to achieve robust measurement. We have evaluated the proposed methods in the experimentation using four compact ODVSs we have originally developed.