  In the context of Smart City, the dynamic of the presence of people can be
analysed using high-dimensional spatio-temporal mobile phone data. In order to
find regularities and detect anomalies in the daily profiles, we propose an
approach that considers the spatial structure by means of Histogram of Oriented
Gradients (HOG) method and the temporal evolution using a Model-Based
Clustering Functional Data Analysis (FDA). An application to the case study of
the Municipality of Brescia is provided. Similarities among days, that follow a
seasonal or a days of the week trend, exist. The number of users in the city,
depending on the season, the day of the week and the time of the day, varies
from 30 to 60 thousands of people
