Human activity recognition has gained an increasing relevance in computer vision and it can
be tackled with either non-hierarchical or hierarchical approaches. The former, also known …

In recent years, research efforts seeking to provide more natural, human-centered means of
interacting with computers have gained growing interest. A particularly important direction is …

Cognition in computer sciences refers to the ability of a system to learn at scale, reason with
purpose, and naturally interact with humans and other smart systems, such as humans do …

Head pose and gesture offer several key conversational grounding cues and are used
extensively in face-to-face interaction among people. We investigate how dialog context …

Computer understanding of human actions and interactions is one of the key research
issues in human computing. In this regard, context plays an essential role in semantic …

Recently, interest about security in public and private spaces has increased in favour of
social welfare. Surveillance systems are increasingly needed to provide security for citizens …

Distributed processing and memory structures are very important aspects of cognitive vision
systems. Both issues not only require sophisticated conceptual designs but also pose …

This paper presents a machine learning-based method to build knowledge bases used to
carry out surveillance tasks in environments monitored with video cameras. The method …

Saliency detection by human refers to the ability to identify pertinent information using our
perceptive and cognitive capabilities. While human perception is attracted by visual stimuli …

Current computer vision systems, especially those using machine learning techniques are
data-hungry and frequently only perform well when dealing with patterns they have seen …