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Paper Abstract and Keywords
Presentation 2024-10-11 13:55
Evaluation of Wide-area Person Search Method Using Active Inference
Eito Kosuga, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ) IN2024-54
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, it has become increasingly important to understand and utilize information in physical space. The Cyber-Physical System accumulates information from the physical space and analyzes it in virtual space for use across various industries. However, due to the vast amount of information, including historical data, it is inevitable that some information will be missing in the virtual space.
Active inference, based on the free energy principle, is a control framework that addresses the uncertainty and ambiguity of information, enabling the inference of both observed objects and an agent's own actions. By combining prior beliefs about the environment's state with observational data, active inference allows an agent to probabilistically infer the state of the environment and understand how its actions impact those probabilities. This framework facilitates the estimation of environmental states and control of behavior to reduce uncertainty.
In this paper, we apply active inference to person search using multiple movable cameras and drones. Our aim is to effectively engage sensing in the physical space to compensate for missing information in the virtual space. The target is constantly moving, making continuous sensing, and tracking challenging, which leads to missing information. Therefore, when a target cannot be detected by one movable camera, its location is estimated, and the detection range of other movable cameras and the movement direction of the drone are adjusted to capture the target more efficiently. Simulation results show that the time to acquire a target is reduced compared to the case where active inference is not used.
Keyword (in Japanese) (See Japanese page) 
(in English) Active Inference / Person Search / Drone / Movable Camera / Free Energy Principle / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 199, IN2024-54, pp. 65-70, Oct. 2024.
Paper # IN2024-54 
Date of Issue 2024-10-03 (IN) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IN2024-54

Conference Information
Committee ICTSSL IEE-SMF IN NWS  
Conference Date 2024-10-10 - 2024-10-11 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IN 
Conference Code 2024-10-ICTSSL-SMF-IN-NWS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of Wide-area Person Search Method Using Active Inference 
Sub Title (in English)  
Keyword(1) Active Inference  
Keyword(2) Person Search  
Keyword(3) Drone  
Keyword(4) Movable Camera  
Keyword(5) Free Energy Principle  
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1st Author's Name Eito Kosuga  
1st Author's Affiliation Osaka University (Osaka Univ)
2nd Author's Name Shin'ichi Arakawa  
2nd Author's Affiliation Osaka University (Osaka Univ)
3rd Author's Name Masayuki Murata  
3rd Author's Affiliation Osaka University (Osaka Univ)
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Speaker Author-1 
Date Time 2024-10-11 13:55:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2024-54 
Volume (vol) vol.124 
Number (no) no.199 
Page pp.65-70 
#Pages 6 
Date of Issue 2024-10-03 (IN) 

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