@article {Liciotti2014,
	title = {Shopper analytics: A customer activity recognition system using a distributed rgb-d camera network},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {8811},
	year = {2014},
	note = {cited By 0},
	abstract = {The aim of this paper is to present an integrated system consisted of a RGB-D camera and a software able to monitor shoppers in intelligent retail environments. We propose an innovative low cost smart system that can understand the shoppers{\textquoteright} behavior and, in particular, their interactions with the products in the shelves, with the aim to develop an automatic RGB-D technique for video analysis. The system of cameras detects the presence of people and univocally identifies them. Through the depth frames, the system detects the interactions of the shoppers with the products on the shelf and determines if a product is picked up or if the product is taken and then put back and finally, if there is not contact with the products. The system is low cost and easy to install, and experimental results demonstrated that its performances are satisfactory also in real environments.},
	doi = {10.1007/978-3-319-12811-5_11},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84921652873\&partnerID=40\&md5=44bc641a712fa9af6ffd341f41b0aec0},
	author = {Daniele Liciotti and Marco Contigiani and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti and Valerio Placidi}
}
@conference {Mancini2013,
	title = {Smart vision system for shelf analysis in intelligent retail environments},
	booktitle = {Proceedings of the ASME Design Engineering Technical Conference},
	volume = {4},
	year = {2013},
	note = {cited By 6},
	abstract = {This paper aims to propose an innovative idea of an embedded intelligent, multimedia and interactive shop system where embedded vision systems can analyse human behaviours around shelves for interactivity and statistical purposes, mostly devoted to customer behaviour analysis, planogram maintenance and out of stock detection. We discuss the need for new services into the shop, involving consumers more directly and instigating them to increase their satisfaction and, as a consequence, their purchases. To do this, technology is very important and allows making interactions between costumers and products and between customers and the environment of the shop a rich source of marketing analysis. In particular we focus on concepts of monitoring and interactivity, introducing several emerging technologies in the field of retail environments. The main novelty of the paper is the general architecture of the system together with the introduction of a series of intelligent embedded systems, yet implemented and tested in a dataset recorded during the Euro Shop trade fair, in cooperation with Grottini group, a leading company in Retail Design industry based in Italy. Results are convincing and most of all the general architecture is affordable in this specific application. Copyright {\textcopyright} 2013 by ASME.},
	doi = {10.1115/DETC2013-12317},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84899129851\&partnerID=40\&md5=9468fe9c8ec144cde0a360886f9aae83},
	author = {Adriano Mancini and Emanuele Frontoni and Primo Zingaretti and Valerio Placidi}
}
