Shopper behaviour analysis based on 3D situation awareness information

Satu-Marja Mäkelä, Sari Järvinen, Tommi Keränen, Mikko Lindholm, Elena Vildjiounaite (Corresponding author)

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    2 Citations (Scopus)

    Abstract

    The customer behaviour understanding is of major importance to brick and mortar retail struggling to keep their market share and competing with online retail. In this paper, we propose a customer behaviour tracking solution based on 3D data. We can cover large areas using numerous inexpensive networked 3D sensors for monitoring and tracking people and we have adopted an adaptive background model in order to be able to react to changes in the store environment. Experiments with people tracking and analysis of the trajectories in a department store show that use of inexpensive 3D sensors and lightweight computation allows classifying shopping behaviour into three classes (passers-by, decisive customers, exploratory customers) with 80 % accuracy.
    Original languageEnglish
    Title of host publicationVideo Analytics for Audience Measurement
    Subtitle of host publicationFirst International Workshop, VAAM 2014, Stockholm, Sweden, August 24, 2014. Revised Selected Papers
    PublisherSpringer
    Pages134-145
    ISBN (Electronic)978-3-319-12811-5
    ISBN (Print)978-3-319-12810-8
    DOIs
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication
    EventVideo Analytics for Audience Measurement: First International Workshop, VAAM 2014, 24 August 2014, Stockholm, Sweden - Stockholm, Sweden
    Duration: 24 Aug 2014 → …

    Publication series

    SeriesLecture Notes in Computer Science
    Volume8811
    ISSN0302-9743

    Conference

    ConferenceVideo Analytics for Audience Measurement: First International Workshop, VAAM 2014, 24 August 2014, Stockholm, Sweden
    CountrySweden
    CityStockholm
    Period24/08/14 → …

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    Keywords

    • behaviour analysis
    • shopper behaviour
    • depth sensor based people tracking
    • depth sensor based situtation awareness

    Cite this

    Mäkelä, S-M., Järvinen, S., Keränen, T., Lindholm, M., & Vildjiounaite, E. (2014). Shopper behaviour analysis based on 3D situation awareness information. In Video Analytics for Audience Measurement: First International Workshop, VAAM 2014, Stockholm, Sweden, August 24, 2014. Revised Selected Papers (pp. 134-145). Springer. Lecture Notes in Computer Science, Vol.. 8811 https://doi.org/10.1007/978-3-319-12811-5_10