Year: 2016
Type: article
Abstract: 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.
Source: IEEE Multimedia
DOI: 10.1109/mmul.2016.19
Authors: Song Liu, Wanqing Li, Stephen Davis, Christian Ritz, Hongda Tian
Institution: University of Wollongong
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2280170294