Planogram Compliance Checking Based on Detection of Recurring Patterns

In this article, the authors propose a novel method for automatic planogram compliance checking in retail chains that doesn't require product template images for training. Product layout is extracted from an input image by means of unsupervised recurring pattern detection and matched via graph...

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Bibliographic Details
Published in:IEEE multimedia 2016-04, Vol.23 (2), p.54-63
Main Authors: Song Liu, Wanqing Li, Davis, Stephen, Ritz, Christian, Hongda Tian
Format: Magazinearticle
Language:English
Subjects:
Automation
big data
Companies
data analysis
Estimates
Feature extraction
Graph matching
graphics
Image detection
Layout
Multimedia
Object detection
Pattern matching
planogram compliance
recurring pattern
retail chain
Strategy
supermarket
Training
Visualization
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Summary:In this article, the authors propose a novel method for automatic planogram compliance checking in retail chains that doesn't require product template images for training. Product layout is extracted from an input image by means of unsupervised recurring pattern detection and matched via graph matching, with the expected product layout specified by a planogram to measure the level of compliance. A divide-and-conquer strategy is employed to improve the speed. Specifically, the input image is divided into several regions based on the planogram. Recurring patterns are detected in each region, respectively, and then merged together to estimate the product layout.
ISSN:1070-986X
1941-0166
DOI:10.1109/MMUL.2016.19