With the increasing number of surveillance cameras in both indoor and outdoor locations,
there is a grown demand for an intelligent system that detects abnormal events. Although …

Cameras are being used everywhere for the safety and security of citizens in different
countries. Using a machine to detect humans in a photo or a video frame is a very …

Due to the advancement of camera hardware and machine learning techniques, video
object tracking for surveillance has received noticeable attention from the computer vision …

Research in the video surveillance is gaining more popularity due to its widespread
applications as well as social impact. In this paper, we present an intelligent framework for …

Use of CCTV is growing rapidly in surveillance applications. Rapid advancement in machine
learning and camera hardware has opened-up adequate scopes to build next generation of …

Artificial intelligent systems often model the solutions of typical machine learning problems,
inspired by biological processes, because of the biological system is faster and much …

A real-time detection algorithm for intelligent surveillance is presented. The system, based
on 3D change detection with respect to a complex scene model, allows intruder monitoring …

With the increase in volume, heterogeneity and uncertainty in data, conventional analytics
approaches for monitoring users behavior in organisations are no longer sufficient for the …

Passengers pass ticket barrier gates without paying in metro stations all over the world. This
kind of behavior is called fare evasion, and it is troublesome and costly to prevent. As a …

This paper presents a model designed for the detection of fatigue in an immersive Virtual
Reality (VR) environment tailored for the rehabilitation of individuals with spinal cord …