S Waghchaware, R Joshi - Knowledge and Information Systems, 2024 - Springer
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 …
P Dubey, RK Mittan - SN Computer Science, 2024 - Springer
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 …
RS Mohammed, AA Ahmed - PROCEEDINGS BOOK, 2022 - researchgate.net
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 …
IN Asmaeil, A Albagul, AA Ahmed - International Journal, 2022 - academia.edu
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 …
KS Yadav, S Singh, L Kumar - Authorea Preprints, 2024 - techrxiv.org
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 …