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 …

Multimedia anomaly datasets play a crucial role in automated surveillance. They have a
wide range of applications expanding from outlier objects/situation detection to the detection …

Crowd anomaly detection is one of the most popular topics in computer vision in the context
of smart cities. A plethora of deep learning methods have been proposed that generally …

Deep learning-based approaches have achieved signif-icant improvements on public video
anomaly datasets but often do not perform well in real-world applications. This paper …

People across the world aspire to settle in urban areas for better opportunities in career,
education, and healthcare facilities. The increased proportion of people living in urban areas …

In the face of urbanization and the widespread use of CCTV cameras, the processing of
surveillance videos has gained importance. This study endeavors to create a city-wide …

The feature extraction model focuses on extracting the spatio-temporal features using an
Inception-CAE. The extracted features have been enriched with essential data to achieve …

Human monitoring of surveillance cameras for anomaly detection may be a monotonous
task as it requires constant attention to judge if the captured activities are anomalous or …

Video anomaly detection is a critical task in various fields such as surveillance, security, and
transportation, and has been gaining significant attention in recent years. Manually …

Smart city is an area where the Internet of things is used effectively with sensors. The data
used by smart city can be collected through the cameras, sensors etc. Intelligent video …