VAMBAM: view and motion -based aspect models for distributed omnidirectional vision systems

Authors:
Hiroshi Ishiguro;Takuichi Nishimura
Affiliations:
Department of Computer & Communication Sciences, Wakayama University, Japan;Cyber Assist Research Center, National Institute for Advanced Industrial Science and Technology
Venue:
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Year:
2001

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Abstract

This paper proposes a new model for gesture recognition. The model, called view and motion -based aspect models (VAMBAM), is an omnidirectional view-based aspect model based on motion-based segmentation. This model realizes location-free and rotation-free gesture recognition with a distributed omnidirectional vision system (DOVS). The distributed vision system consisting of multiple omnidirectional cameras is a prototype of a perceptual information infrastructure for monitoring and recognizing the real world. In addition to the concept of VABAM, this paper shows how the model realizes robust and real-time visual recognition of the DOVS.