With the growing concerns over public safety, the importance of crowd monitoring is being
realized by various security and event management agencies worldwide. Estimation of …

Person re-identification (re-ID) has been a popular topic in computer vision and pattern
recognition communities for a decade. Several important milestones such as metric-based …

Recently, there have been breakthroughs in computer vision (" CV") models that are more
generalizable with the advent of models such as CLIP and ALIGN. In this paper, we analyze …

A fundamental task for a distributed multi-camera system is to associate people across
camera views at different locations and times. In a crowded and uncontrolled environment …

Video imagery based crowd analysis for population profiling and density estimation in public
spaces can be a highly effective tool for establishing global situational awareness. Different …

Existing person re-identification methods conventionally rely on labelled pairwise data to
learn a task-specific distance metric for ranking. The value of unlabelled gallery instances is …

For making sense of the vast quantity of visual data generated by the rapid expansion of
large-scale distributed multi-camera systems, automated person re-identification is …

Spectral clustering requires robust and meaningful affinity graphs as input in order to form
clusters with desired structures that can well support human intuition. To construct such …

To ensure effective management and security in large-scale public events, it is imperative for
the event organizers to be aware of potentially critical crowd densities. This article, therefore …

The widespread availability of smartphones today equipped with several physical and virtual
sensors allows to directly collect various information about surrounding physical and logical …