In various disciplines, information about the same phenomenon can be acquired from
different types of detectors, at different conditions, in multiple experiments or subjects …

Despite surveillance systems becoming increasingly ubiquitous in our living environment,
automated surveillance, currently based on video sensory modality and machine …

This survey aims at providing multimedia researchers with a state-of-the-art overview of
fusion strategies, which are used for combining multiple modalities in order to accomplish …

The purpose of this paper is twofold:(i) to investigate the emotion representation models and
find out the possibility of a model with minimum number of continuous dimensions and (ii) to …

Within this survey an attempt is made to document the present status of video surveillance
systems. The main components of a surveillance system are presented and studied …

The goal of high-level event recognition is to automatically detect complex high-level events
in a given video sequence. This is a difficult task especially when videos are captured under …

In this paper, we review recent results on audiovisual (AV) fusion. We also discuss some of
the challenges and report on approaches to address them. One important issue in AV fusion …

People and animals fuse auditory and visual information to obtain robust perception. A
particular benefit of such cross-modal analysis is the ability to localize visual events …

In the context of the automated surveillance field, automatic scene analysis and
understanding systems typically consider only visual information, whereas other modalities …

Most of the prior studies in the spatial Direction of Arrival (DoA) domain focus on a single
modality. However, humans use auditory and visual senses to detect the presence of sound …