---
title: "VAMBAM: View and Motion-based Aspect Models for Distributed Omnidirectional Vision Systems"
authors:
  - "Hiroshi Ishiguro"
  - "Takuichi Nishimura"
doi: ""
url: "https://ijcai.org/proceedings/2001/181"
pdf: "https://ijcai.org/proceedings/2001/0181.pdf"
venue: "Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence"
year: 2001
pages: "1375-1379"
track: ""
keywords:
---

# VAMBAM: View and Motion-based Aspect Models for Distributed Omnidirectional Vision Systems

Hiroshi Ishiguro, Takuichi Nishimura

*Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence*, pages 1375-1379.

## 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.