Recognizing various abnormal human activities from video is very challenging. This problem
is also greatly influenced by the lack of datasets containing various abnormal human …

Human activity recognition (HAR) has received the significant attention in the field of security
and surveillance due to its high potential for real-time monitoring, identifying the abnormal …

Security has emerged as a significant concern in today's world, particularly in public places
such as railway stations, airports, shopping malls, and crowded areas. Unattended object …

Recognizing various abnormal activities of human behavior from video is very challenging.
The overall results are affected by the available data-sets. The available data-sets contain …

Abstract Iris Recognition Technology is a biometric method that takes an image of an eye
pattern, converts the image into a binary template and then saves the data on a server for …

Unusual human crowd activity detection is the approach to identifying undesired human
activities in a congested environment with a lot of objects in motion. This is accomplished by …

Banknote recognition in the field of image processing is used to distinguish between
banknotes of different countries and determine their values. One of the problems that …

Suspiciousness detection is crucial for anticipating potential security threats and facilitating
timely intervention and risk mitigation. Enhanced by deep learning, vision-based systems …

Smart video surveillance systems have grown tremendously for providing security to
sensitive places. These intelligent systems are integrated with advanced Artificial …

The evolution and digitalisation of the world have brought an innovative machine-to-
machine (M2M) communication system that is called the Internet of Things (IoT). Internet of …