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Automatic Human Tracking using Localization of Neighbor Node Calculation

Authors:
Tappei Yotsumoto
Kozo Tanigawa
Miki Tsuji
Kenichi Takahashi
Takao Kawamura
Kazunori Sugahara

Keywords: Human tracking; Mobile agent; Pan/Tilt/Zoom; Neighbor relation; Localization.

Abstract:
A human tracking system based on mobile agent technologies has been proposed to achieve automatic human tracking function. In this system, each target person is tracked automatically by its mobile agent moving among cameras in which a person is detected. The current system utilizes an algorithm to predict which camera detects the target person. The algorithm needs a lot of information from all cameras about their monitoring ranges of the cameras. If one monitoring range is updated by a pan / tilt / zoom operation or some other reason, the whole calculation to determine the relationship between camera nodes must be performed accordingly. In order to solve this problem, we propose in this paper an algorithm that uses only localized node information from each camera and its neighboring camera. With this proposed algorithm, each camera is able to calculate its neighbor nodes without obtaining the monitoring ranges of all cameras. This enables the construction of robust human tracking systems.

Pages: 139 to 145

Copyright: Copyright (c) IARIA, 2015

Publication date: August 23, 2015

Published in: conference

ISSN: 2162-2116

ISBN: 978-1-61208-427-5

Location: Venice, Italy

Dates: from August 23, 2015 to August 28, 2015