An Event-Based Hierarchical Method for Customer Activity Recognition in Retail Stores

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Customer Activity (CA) provides valuable information for marketing. CA is a collective name of customer information from on-the-spot observation in retail environments. Existing methods of Customer Activity Recognition (CAR) recognize CA by specialized end-to-end (e2e) models. Consequently, when marketing requires changing recognition targets, specialized e2e models are not reconfigurable to fit different marketing demands unless rebuilding the models entirely. Besides, redundant computation in the existing CAR system leads to low efficiency. Also, the low maintainability of the CAR system results in lots of modifications when updating methods in the system. In this research, we decompose behaviors into several primitive units called “event”. We propose an event-based CAR method to achieve reconfigurability and design a hierarchy to solve issues about redundancy and maintainability. The evaluation results show that our proposed method can adapt and perform better than existing methods, which fits different marketing demands.

Original languageEnglish
Title of host publicationAdvances in Visual Computing - 15th International Symposium, ISVC 2020, Proceedings
EditorsGeorge Bebis, Zhaozheng Yin, Edward Kim, Jan Bender, Kartic Subr, Bum Chul Kwon, Jian Zhao, Denis Kalkofen, George Baciu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages263-275
Number of pages13
ISBN (Print)9783030645557
DOIs
Publication statusPublished - 2020
Event15th International Symposium on Visual Computing, ISVC 2020 - San Diego, United States
Duration: 2020 Oct 52020 Oct 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12509 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Symposium on Visual Computing, ISVC 2020
CountryUnited States
CitySan Diego
Period20/10/520/10/7

Keywords

  • Activity recognition
  • Customer activities
  • Hierarchical activity model
  • Retail environments

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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