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 performance of single cue object tracking algorithms may degrade due to complex
nature of visual world and environment challenges. In recent past, multicue object tracking …

We introduce an approach to convert mono audio recorded by a 360 video camera into
spatial audio, a representation of the distribution of sound over the full viewing sphere …

Using MATLAB examples wherever possible, Multi-Sensor Data Fusion with MATLAB
explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion …

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 …

In this paper, a robust sensor fusion method is proposed where the measurement noise is
modeled by a Student-t distribution. The Student-t distribution has a heavy tail compared to …

Methods, systems and articles of manufacture for recogniz ing and locating one or more
objects in a scene are disclosed. An image and/or video of the scene are captured. Using …

The problem of tracking multiple moving speakers in indoor environments has received
much attention. Earlier techniques were based purely on a single modality, eg, vision …

This study presents a smart homecare surveillance system, which utilizes sound-steered
cameras to identify behavior of interest. First of all, to detect multiple source locations, a new …