Time-Varying-Geometry Object Surveillance Using A Multi-Camera Active-Vision System

Matthew Mackay; Robert G. Fenton; Beno Benhabib

doi:10.21307/ijssis-2017-314

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Time-Varying-Geometry Object Surveillance Using A Multi-Camera Active-Vision System

International Journal on Smart Sensing and Intelligent Systems

Volume 1 (2008): Issue 3 (January 2008)

By: Matthew Mackay, Robert G. Fenton and Beno Benhabib

Open Access

|Dec 2017

Abstract

This paper presents a novel, agent-based sensing-system reconfiguration methodology for the recognition of time-varying-geometry targets (objects or subjects). A multi-camera activevision system is used to improve form-recognition performance by selecting near-optimal viewpoints along a prediction time horizon. The proposed method seeks to maximize the target visibility in a cluttered, dynamic environment. Simulated experiments clearly show a tangible potential performance gain.

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Articles in this issue

DOI: https://doi.org/10.21307/ijssis-2017-314 | Journal eISSN: 1178-5608

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Language: English

Page range: 679 - 704

Published on: Dec 13, 2017

Published by: Macquarie University, Australia

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Surveillance,

Sensing-System Reconfiguration,

Active Vision,

Form Recognition

Related subjects:

Engineering,

Introductions and overviews,

Engineering, other

© 2017 Matthew Mackay, Robert G. Fenton, Beno Benhabib, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 1 (2008): Issue 3 (January 2008)