Video anomaly analysis is a core task actively pursued in the field of
c...
Indoor scene recognition is a growing field with great potential for
beh...
The automatic detection of anomalies captured by surveillance settings i...
The field of deep learning is evolving in different directions, with sti...
Eating habits are learned throughout the early stages of our lives. Howe...
The automatic discovery of behaviour is of high importance when aiming t...
The use of deep learning techniques has exploded during the last few yea...
The availability and use of egocentric data are rapidly increasing due t...
Recent studies have shown that the environment where people eat can affe...
Nowadays, there is an upsurge of interest in using lifelogging devices. ...
The routine of a person is defined by the occurrence of activities throu...
Wearable cameras capture a first-person view of the daily activities of ...
Event boundaries play a crucial role as a pre-processing step for detect...
First-person (wearable) camera continually captures unscripted interacti...
Mild cognitive impairment is the early stage of several neurodegenerativ...
In this paper, we present a new method for egocentric video temporal
seg...
Lifelogging is a process of collecting rich source of information about ...
While wearable cameras are becoming increasingly popular, locating relev...
Building a visual summary from an egocentric photostream captured by a
l...