Since 2008, a variety of systems have been designed to detect events in security cameras.
There are also more than a hundred journal articles and conference papers published in this …

Abstract Human Action Recognition (HAR) has achieved a remarkable milestone in the field
of computer vision. Apart from its varied applications in human–computer interactions …

In addressing the worldwide Covid-19 pandemic situation, the process of flattening the curve
for coronavirus cases will be difficult if the citizens do not take action to prevent the spread of …

Human action recognition is an important application domain in computer vision. Its primary
aim is to accurately describe human actions and their interactions from a previously unseen …

Human activity recognition has been a significant goal of computer vision since its inception
and has developed considerably in the last years. Recent approaches to this problem …

A smart and scalable system is required to schedule various machine learning applications
to control pandemics like COVID‐19 using computing infrastructure provided by cloud and …

These days surveillance cameras are spreading very fast for security issues; however
reviewing, retrieving and analyzing all these surveillance videos consume a lot of time …

Video and image data is the most important and widely used format of communication today.
It is used as evidence and authenticated proof in different domains such as law enforcement …

1.1 Background HADR is one of the significant research areas in the fields of computer
vision and artificial intelligence. Generally, human activities vary from simple to complex …

This paper describes the baseline corpus of a new multimodal biometric database, the MMU
GASPFA (Gait–Speech–Face) database. The corpus in GASPFA is acquired using …