Abstract
In recent years, various systems using multiple vision sensors have been proposed in the area of computer vision. For example, several systems track people or automobiles in the real environment with multiple vision sensors [32, 141, 169, 51, 189] while other systems analyze their behaviors [89]. Compared with systems using a single vision sensor [243, 116, 140, 156], these systems are able to observe a moving target in a large space for a long time. However, they need to use many vision sensors to seamlessly cover the entire space, since a single standard vision sensor itself has a narrow range of view. On the other hand, an omnidirectional vision sensor (ODVS) provides a wide field of view of up to a 360° at a time. In addition, use of multiple ODVSs provide rich and redundant visual information, which enables robust recognition of the targets. Thus, multiple ODVSs opens up a new application area of computer vision with their wide range of view.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer Science+Business Media New York
About this chapter
Cite this chapter
Sogo, T., Ishiguro, H., Trivedi, M.M. (2001). N-Ocular Stereo for Real-Time Human Tracking. In: Benosman, R., Kang, S.B. (eds) Panoramic Vision. Monographs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3482-9_18
Download citation
DOI: https://doi.org/10.1007/978-1-4757-3482-9_18
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-2880-1
Online ISBN: 978-1-4757-3482-9
eBook Packages: Springer Book Archive