State-of-the-art systems on cognitive surveillance identify and describe complex events in
selected domains, thus providing end-users with tools to easily access the contents of …

This contribution describes a cognitive vision system conceived to automatically provide
high level interpretations of complex real-time situations in outdoor and indoor scenarios of …

With the existence of “semantic gap” between the machine-readable low level features (eg
visual features in terms of colors and textures) and high level human concepts, it is …

Automated visual surveillance systems are required to emulate the cognitive abilities of
surveillance personnel, who are able to detect, recognise and assess the severity of …

Storage and analysis of video surveillance data is a significant challenge, requiring video
interpretation and event detection in the relevant context. To perform this task, the low-level …

The integration of cognitive capabilities in computer vision systems requires both to enable
high semantic expressiveness and to deal with high computational costs as large amounts …

This paper proposes an object segmentation and tracking algorithm for visual surveillance
applications. In order to detect moving objects from a dynamic background scene which may …

The growing rate of public space closed-circuit television (CCTV) installations has
generated a need for automated methods for exploiting video surveillance data, including …

With the vast development of Internet capacity and speed, as well as wide adop-tion of
media technologies in people's daily life, a large amount of videos have been surging, and …

This paper presents work on integrating multiple computer vision-based approaches to
surveillance video analysis to support user retrieval of video segments showing human …