Object recognition-based estimation of planogram compliance provides an expected arrangement of products on shelves. Identifying whether a product is placed in an appropriate location on 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 a shelf of a retail store is received and 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 one or more composite scores and one or more probable products. Finally, an optimal matching product image for a particular location is obtained from the DAG.
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Hari, Pranoy; Rao, Shilpa Yadukumar; Ramakrishnan, Rajashree; Shaw, Avishek Kumar; Ray, Archan; Kumar, Nishant; and Mukherjee, Dipti Prasad, "System and method for object recognition based estimation of planogram compliance" (2020). Patents. 2.