Today, video surveillance is commonly used in security systems, but requires more
intelligent and more robust technical approaches. Such systems, used in airports, train …

The cloud computing paradigm underpins the Internet of Things (IoT) by offering a
seemingly infinite pool of resources for processing/storing extreme amounts of data …

The increasing number of video surveillance cameras is challenging video control systems.
Monitoring centers require tools to guide the process of supervision. Different video analysis …

In recent years, video surveillance industry has encountered huge evolution. First, the IP
based video cameras are gradually replacing the market share of Closed-circuit television …

Detection of suspicious human actions in automated video surveillance applications, is of
great practical importance. Those kind of unusual activities in human is very difficult to …

It is common for CCTV operators to overlook interesting events taking place within the crowd
due to large number of people in the crowded scene (ie marathon, rally). Thus, there is a …

Smart systems are commonly used in our environment and satisfy numerous applications for
the end user. However, the need for unobtrusive systems is constantly growing as we are …

Crowd analysis becomes the most active-oriented research and trendy topic in computer
vision nowadays. Typically, crowd is a unique group of individual or something involves …

In mobile surveillance systems, complex task allocation addresses how to optimally assign a
set of surveillance tasks to a set of mobile sensing agents to maximize overall expected …

Vehicle re-identification (re-ID) remains an unproblematic problem due to the complicated
variations in vehicle appearances from multiple camera views. Most existing algorithms for …