Big data applications are consuming most of the space in industry and research area.
Among the widespread examples of big data, the role of video streams from CCTV cameras …

Video surveillance systems are popular and used in public places such as market places,
shop** malls, hospitals, banks, streets, education institutions, city administrative offices …

Surveillance video anomaly detection (SVAD) is a challenging task due to the variations in
object scale, discrimination and unexpected events, the impact of the background, and the …

Appearance features have been widely used in video anomaly detection even though they
contain complex entangled factors. We propose a new method to model the normal patterns …

The current concept of smart cities influences urban planners and researchers to provide
modern, secured and sustainable infrastructure and gives a decent quality of life to its …

Remote monitoring is the process that monitors and observes information from a distance
utilizing sensors or electronic types of equipment. Remote monitoring is used in real-time …

Crowd counting from a single image is a challenging task due to high appearance similarity,
perspective changes, and severe congestion. Many methods only focus on the local …

The concept of intelligent visual identification of abnormal human activity has raised the
standards of surveillance systems, situation cognizance, homeland safety and smart …

Computer vision has evolved in the last decade as a key technology for numerous
applications replacing human supervision. Timely detection of traffic violations and …

Analyzing surveillance videos is mandatory for the public and industrial security.
Overwhelming growth in computer vision fields has been made to automate the surveillance …