• Feb 07, 2023 News!JACN will adopt Article-by-Article Work Flow. The benefit of article-by-article workflow is that a delay with one article may not delay the entire issue. Once a paper steps into production, it will be published online soon.   [Click]
  • May 30, 2022 News!JACN Vol.10, No.1 has been published with online version.   [Click]
  • Dec 24, 2021 News!Volume 9 No 1 has been indexed by EI (inspec)!   [Click]
General Information
    • ISSN: 1793-8244 (Print)
    • Abbreviated Title:  J. Adv. Comput. Netw.
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Professor Haklin Kimm
    • Executive Editor: Ms. Cherry Chan
    • Abstracting/ Indexing: EBSCO, ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
    • APC: 500USD
Professor Haklin Kimm
East Stroudsburg University, USA
I'm happy to take on the position of editor in chief of JACN. We encourage authors to submit papers on all aspects of computer networks.

JACN 2013 Vol.1(2): 94-98 ISSN: 1793-8244
DOI: 10.7763/JACN.2013.V1.20

Memory Recollection and Retrieval Based on Monitoring Human and Object in the iSpace

Kazufumi Saito, Akira Yoshimura, and Joo-Ho Lee

Abstract—In this paper, we propose a memory recollection and retrieval system using spatial log data in daily living which allows users to see behavior of the past, unconscious behavior and object-oriented behavior in the Intelligent Space. The proposed system consists of multiple camera devices and it utilizes various kinds of data; human identification, human motion, object instance, weather information, illuminance, heuristic information, etc. We constructed the system, focused on objects, in the Intelligent Space. To generate Metadata, based on collected log data to achieve the system of Recollection and Retrieval, several algorithms were used. For example, we used various image-processing algorithms of human detection, face recognition, object recognition, etc. for monitoring human and object. This paper presents the prototype of Recollection and Retrieval System, and updates original dataset, useful for various purposes in the Intelligent Space. Moreover, we improved the system performance of detecting object position compared to previous results.

Index Terms—Intelligent space, environment monitoring,system integration, summarization.

The authors are with the Science and Engineering Department, University of Ritsumeikan, Japan (e-mail: cc005072@ed.ritsumei.ac.jp, is045089@ed.ritsumei.ac.jp, leejooho@is.ritsumei.ac.jp).


Cite:Kazufumi Saito, Akira Yoshimura, and Joo-Ho Lee, "Memory Recollection and Retrieval Based on Monitoring Human and Object in the iSpace," Journal of Advances in Computer Networks vol. 1, no. 2, pp. 94-98, 2013.

Copyright © 2008-2024. Journal of Advances in Computer Networks.  All rights reserved.
E-mail: jacn@ejournal.net