Object recognition applications can be made with deep neural networks. However, this
process may require intensive processing load. For this purpose, hybrid object recognition …

The traditional human action recognition (HAR) method is based on RGB video. Recently,
with the introduction of Microsoft Kinect and other consumer class depth cameras, HAR …

Detecting human is a crux issue in computer vision, with numerous usages especially in
human–computer interaction and video surveillance. A framework for human detection with …

Abstract The Internet of Everything (IoE) provides a platform that allows devices to be
remotely connected, sensed, and controlled across the network infrastructure. The smart …

With the widespread adoption of Wireless Local Area Network (WLAN) in indoor
environment, indoor WLAN intrusion detection has become a key technique in various fields …

Human activity recognition is an important area of computer vision research. The goal of
activity recognition is an automated analysis or interpretation of ongoing events and their …

The engagement of students during examination can be evaluated by their emotion. This
relates to the application of affective computing in education. This paper reports the basis …

The universality of video camera systems is now apparent in every sphere. For a multitude of
purposes, they have become an inseparable aspect of human existence. They are being …

Tracking people in a video sequence is one of the fields of interest in computer vision. It has
broad applications in motion capture and surveillance. However, due to the complexity of …

The text feature is an important descriptive feature of many image analysis applications.
Objectives of this study aim to determine the different texture characteristics of them …