Emanuele Frontoni, Professor, and Rocco Pietrini, Ph.D. student, both of the Università Politecnica delle Marche, present the “Deep Understanding of Shopper Behaviors and Interactions Using Computer Vision” tutorial at the May 2018 Embedded Vision Summit.
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, Frontoni and Pietrini explore some of these challenges and present a set of deep learning algorithms that they’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.
