Video surveillance systems obtain a great interest as application-oriented studies that have
been growing rapidly in the past decade. The most recent studies attempt to integrate …

In this paper, we propose a Distributed Intelligent Video Surveillance (DIVS) system using
Deep Learning (DL) algorithms and deploy it in an edge computing environment. We …

The current state of the art and direction of research in computer vision aimed at automating
the analysis of CCTV images is presented. This includes low level identification of objects …

Recent technologies in the market trends have demanded the significant need for the
possible solutions to intelligent video cameras that are nothing but intelligent video …

In this thesis, we develop a scalable distributed approach for object detection model training
and inference, using low cost embedded devices. Examples of the usage of such an …

Tiivistelmä Viime vuosikymmen tunnetaan vahingollisista tapahtumista alkaen
talouskriiseistä ja ulottuen järjestelmälliseen rikollisuuteen, terrori-iskuihin ja …

In order to solve the problem of the energy optimization and assessment with situational
awareness performance in the wireless sensor network, the function model is proposed …

The unattended power stations are more and more popular in smart grids. But how to make
the unattended power stations visual is a big problem. So the build of video and …

This study has been conducted to develop robust event detection and object tracking
algorithms that can be implemented in real time video surveillance applications. The aim of …