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The aim of this paper is to present an integrated system consisted of a RGB-Dcamera and a software able to monitor shoppers in intelligent retailenvironments. We propose an innovative low cost smart system that canunderstand the shoppers' behavior and, in particular, their interactions withthe products in the shelves, with the aim to develop an automatic RGB-Dtechnique for video analysis. The system of cameras detects the presence ofpeople and univocally identifies them. Through the depth frames, the systemdetects the interactions of the shoppers with the products on the shelf anddetermines if a product is picked up or if the product is taken and then putback and finally, if there is not contact with the products. The system is lowcost and easy to install, and experimental results demonstrated that itsperformances are satisfactory also in real environments.

Shopper Analytics: a customer activity recognition system using a distributed RGB-D camera network