Planogram Compliance Checking Based on Detection of Recurring Patterns

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Other literature type 01 Apr 2016Embargo end date: 01 Jan 2016 Australia Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE MultiMedia, volume 23, pages 54-63 (issn: 1070-986X,

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Authors: Song Liu; Wanqing Li 0001; Stephen J. Davis; Christian H. Ritz; Hongda Tian;

doi: 10.1109/mmul.2016.19 , 10.48550/arxiv.1602.06647

arXiv: 1602.06647

Planogram Compliance Checking Based on Detection of Recurring Patterns

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Abstract

In this paper, a novel method for automatic planogram compliance checking in retail chains is proposed without requiring 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. Experimental results on real data have verified the efficacy of the proposed method. Compared with a template-based method, higher accuracies are achieved by the proposed method over a wide range of products.

Accepted by MM (IEEE Multimedia Magazine) 2016

Country

Australia

Related Organizations

University of Wollongong
Australia

Keywords

FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), detection, Computer Science - Computer Vision and Pattern Recognition, compliance, Science and Technology Studies, checking, Engineering, planogram, patterns, recurring

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