The field of surveillance and forensics research is currently shifting focus and is now
showing an ever increasing interest in the task of people reidentification. This is the task of …

Person re-identification is a fundamental task in automated video surveillance and has been
an area of intense research in the past few years. Given an image/video of a person taken …

Person re-identification (Re-ID) is an application of video surveillance and has become
popular among Computer Vision and Image processing research communities since last …

We propose an automatic, privacy-preserving, fall detection method for indoor environments,
based on the usage of the Microsoft Kinect® depth sensor, in an “on-ceiling” configuration …

We present an attention-based model that reasons on human body shape and motion
dynamics to identify individuals in the absence of RGB information, hence in the dark. Our …

Person re-identification (re-id) aims to match people across non-overlapping camera views.
So far the RGB-based appearance is widely used in most existing works. However, when …

The paper provides a specific perspective view on background subtraction for moving object
detection, as a building block for many computer vision applications, being the first relevant …

Person reidentification consists of recognizing individuals across different sensors of a
camera network. Whereas clothing appearance cues are widely used, other modalities …

Computer Vision and Multimedia solutions are now offering an increasing number of
applications ready for use by end users in everyday life. Many of these applications are …

Current sensor technologies enable the passive and continuous monitoring of human
behaviors as well as infrastructures to ensure personal safety and assess individual health …