Human action recognition has been applied in many fields, such as video surveillance and
human computer interaction, where it helps to improve performance. Numerous reviews of …

Computer vision makes computers enable to recognize and understand information from
digital images. It is a multidisciplinary field and aims to develop automated systems that able …

Neuromorphic vision sensors are biologically inspired devices which differ fundamentally
from well known frame-based sensors. Even though developments in this research area are …

In visual surveillance systems, it is necessary to recognize the behavior of people handling
objects such as a phone, a cup, or a plastic bag. In this paper, to address this problem, we …

Behavior analysis is an important yet challenging task on computer vision area. However,
human behavior is still a necessity in differents sectors. In fact, in the increase of crimes …

Dense environmental conditions such as snow, fog, lightning, heavy rain, and darkness
drastically lower the quality of outdoor surveillance videos. The primary functions of video …

In today's world, thousands of surveillance cameras have been working round the clock.
These cameras are installed at railway stations, ATMs, streets and all the public spaces that …

Recent years have seen a rise in the use of various machine learning techniques in
computer vision, particularly in posing feature-based human action recognition which …

This work presents a novel approach to the problem of real-time human action recognition in
intelligent video surveillance. For more efficient and precise labeling of an action, this work …

The detection and analysis of anomalous activity in videos have become increasingly
important in many real-time applications like patient monitoring, passenger monitoring, and …