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Location identification for visitor behavior log in museum

Published: 12 December 2010 Publication History

Abstract

In this paper, we present our ongoing research on capture and processing of location logs of visitors in museum. We introduce importance of logging visitors' locations in museum, and comparisons of various localization techniques developed so far. Among the techniques potentially available, we focus on image-based localization: the visitor capture images of the objects in museum which is of his/her interest, then the images are compared to the image dataset which includes location tags, and find the possible locations of the user. We will present our preliminary experiments of the results of the image-based localization, which we have done in the Railway Museum of Japan. Capturing images during the visit finally results in the location logs of the visitor which benefit each individual and the museum.

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Cited By

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  • (2012)Life-Log Observation of Walking Traces with Sensors of Android Mobile Device and Vector Map MatchingIEICE Transactions on Information and Systems10.1587/transinf.E95.D.546E95-D:2(546-548)Online publication date: 2012

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  1. Location identification for visitor behavior log in museum

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    George Popescu

    The task of determining the desired path to a given location is influenced by user preference, as well as by other people's opinions. This paper presents the authors' research on the localization issue, focusing on the location logs of visitors to a museum. The paper briefly presents the limitations of global positioning system (GPS) receivers, Wi-Fi networks, and radiowave strength from base stations. It discusses multiple user-adapted features, including route recommendation, personalized explanation, a reference for updating the display, and a means of sharing with other interested users. The authors present image-based positioning techniques for museum localization with an easy-to-use and cost-saving system that adapts to individual users. The system is based on image recognition. It matches images taken by the user with the images in the database, and it uses tags to determine other features of the image, which help with navigation. For feature extraction, the authors use principal component analysis scale-invariant feature transform (PCA-SIFT). For searching correspondent pairs of points, they use locality sensitive hashing. For route estimation-for the distance between two points of interest-they plan to use photos taken in the museum in order to create a dynamic system that connects the two photos with the closest time stamps. A museum typically tracks visitor preferences with tools such as questionnaires. However, an adaptive information technology (IT) tool benefits both visitors and museums: it will help museums guide visitors to specific points of interest. Online Computing Reviews Service

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    cover image ACM Conferences
    VRCAI '10: Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry
    December 2010
    399 pages
    ISBN:9781450304597
    DOI:10.1145/1900179
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 12 December 2010

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    Author Tags

    1. image processing
    2. indoor localization
    3. life log
    4. multimedia
    5. omni-direcitonal camera

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    • (2012)Life-Log Observation of Walking Traces with Sensors of Android Mobile Device and Vector Map MatchingIEICE Transactions on Information and Systems10.1587/transinf.E95.D.546E95-D:2(546-548)Online publication date: 2012

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