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Countermeasure to Human Recognition Error for Agent-based Human Tracking System

Authors:
Masaru Shiozuka
Tappei Yotsumoto
Kenichi Takahashi
Masashi Nishiyama
Takao Kawamura
Kazunori Sugahara

Keywords: Human Tracking; Mobile Agent; Camera; Sensor.

Abstract:
Human monitoring systems are widely deployed in companies, schools and elsewhere for the prevention of crimes. Such systems require operators to monitor information sent from monitoring devices, such as cameras and/or beacon sensors. To reduce the burden of operators’ work, we have proposed an automatic human tracking system based on mobile agent technologies. The system succeeded in tracking persons when radio frequency identifier (RFID) sensors were used as monitoring devices. However, it sometimes causes human recognition error when using a camera. In this paper, we propose a method to tackle human recognition error. In this method, an agent changes his/her behavior according to a distance computed from pictures photographed by a camera. Experiments using the proposed method showed that the rate of successful human tracking improved even in an environment where human tracking error often occurred.

Pages: 65 to 70

Copyright: Copyright (c) IARIA, 2018

Publication date: November 18, 2018

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-676-7

Location: Athens, Greece

Dates: from November 18, 2018 to November 22, 2018