Deep Understanding of Shopper Behaviors and Interactions Using Computer Vision

Tuesday, May 22, 2:10 PM - 2:40 PM
Summit Track: 
Technical Insights II
Room 203/204

In retail environments, there’s great value in understanding how shoppers move in the space and interact with products. And, while the retail environment has some favorable characteristics for computer vision (such as reasonable lighting), the large number and diversity of products sold, along with the potential ambiguity of shopper movements, mean that accurately measuring shopper behavior is challenging. In this talk, we explore some of these challenges and present a set of deep learning algorithms that we’ve utilized to address them. These algorithms have been deployed in the cloud and have been used to measure the activity of more than one million shoppers worldwide.


Emanuele Frontoni

Professor, Università Politecnica delle Marche

Emanuele Frontoni is Professor of "Fondamenti di Informatica" and "Computer Vision” at the Università Politecnica delle Marche, Engineering Faculty. He received the doctoral degree in electronic engineering from the University of Ancona, Italy, in 2003. In the same year, he joined the Dept. of Ingegneria Informatica, Gestionale e dell’Automazione (DIIGA) at the Università Politecnica delle Marche, as a Ph.D. student in "Intelligent Artificial Systems". He obtained his PhD in 2006 discussing a thesis on Vision Based Robotics. His research focuses on applying computer science, artificial intelligence and computer vision techniques to mobile robots and innovative IT applications. He is a member of IEEE and AI*IA, the Italian Association for Artificial Intelligence.

Rocco Pietrini

PhD Student, Università Politecnica delle Marche

In 2013, he received the B.Sc. degree in Computer and Automation Engineering from Polytechnic University of Marche. During this period he spent 5 months at Université Paris XIII in Paris, as Erasmus student. In 2016, he received the M.Sc. degree in Computer and Automation Engineering from Polytechnic University of Marche with a thesis entitled "Design and development of a Human Machine Interface in interactive multimedia environments" (supervisor Prof. Emanuele Frontoni). In April 2016 he was a computer engineer at Grottini Lab for retail intelligence applications. Since November 2016 he is in the PhD School at Polytechnic University of Marche, under the supervision of Prof. Emanuele Frontoni in the Vision, Robotics and Artificial Intelligence (VRAI) research group. His research focuses on appliying computer vision techniques to human behavior analysis.

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