VAMBAM: View and Motion-based Aspect Models for Distributed Omnidirectional Vision Systems
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.
@inproceedings{ijcai2001p181,
title = {VAMBAM: View and Motion-based Aspect Models for Distributed Omnidirectional Vision Systems},
author = {Ishiguro, Hiroshi and Nishimura, Takuichi},
booktitle = {Proceedings of the Seventeenth International Joint Conference on
Artificial Intelligence, {IJCAI-01}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {1375--1379},
year = {2001},
url = {https://ijcai.org/proceedings/2001/181},
}
TY - CPAPER TI - VAMBAM: View and Motion-based Aspect Models for Distributed Omnidirectional Vision Systems AU - Ishiguro, Hiroshi AU - Nishimura, Takuichi T2 - Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI-01 PB - International Joint Conferences on Artificial Intelligence PY - 2001 SP - 1375 EP - 1379 UR - https://ijcai.org/proceedings/2001/181 ER -Copied
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