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System and method for object recognition based estimation of planogram compliance

机译:基于对象识别的货架图顺应性估计的系统和方法

摘要

Object recognition based estimation of planogram compliance provides an expected arrangement of products in shelves. Identifying whether a product is placed in an appropriate location of a shelf is a challenging task due to various real-time parameters associated with image capturing. In the present disclosure, an input image associated with shelf of a retail store is received and a product images are cropped. Further, a set of reference images stored in a database are scaled corresponding to the input image. Further, one or more composite matching scores are calculated based on normalized cross-correlation and shape based feature matching to obtain one or more probable product images associated with a location. Further, a Directed Acyclic Graph (DAG) is constructed based on the one or more composite scores and the one or more probable products. Finally, an optimal matching product image for a particular location is obtained from the DAG.
机译:基于对象识别的货架图顺应性估计可提供货架上预期的产品布置。由于与图像捕获相关联的各种实时参数,因此识别产品是否放置在架子的适当位置是一项艰巨的任务。在本公开中,接收与零售商店的货架相关联的输入图像,并且裁剪产品图像。此外,对应于输入图像缩放存储在数据库中的一组参考图像。此外,基于归一化互相关和基于形状的特征匹配来计算一个或多个复合匹配分数,以获得与位置相关联的一个或多个可能的产品图像。此外,基于一个或多个综合得分和一个或多个可能的乘积构建有向无环图(DAG)。最后,从DAG获得特定位置的最佳匹配产品图像。

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