Fereshteh Falah Chamasemani

Work place: Faculty of Computer Science and Information Technology, University Putra Malaysia, Malaysia

E-mail: angel85.asemani@gmail.com


Research Interests: Data Mining, Information Retrieval, Multimedia Information System, Data Structures and Algorithms


Fereshteh Falah Chamasemani: received her bachelor degree in Software Engineering from Najaf Abad Azad University in 1997 and Master degree in Computer Science from the Multimedia University in 2011. Her current research interests include Content Based Image Retrieval methods, Multimedia databases, Data Mining and Machine Learning.

Author Articles
Systematic Review and Classification on Video Surveillance Systems

By Fereshteh Falah Chamasemani Lilly Suriani Affendey

DOI: https://doi.org/10.5815/ijitcs.2013.07.11, Pub. Date: 8 Jun. 2013

Recently, various conferences and journals have published articles related to Video Surveillance Systems, indicating researchers’ attention. The goal of this review is to examine the latest works were published in journals, propose a new classification framework of video surveillance systems and investigate each aspect of this classification framework. This paper provides a comprehensive and systematic literature review of video surveillance systems from 2010-2011, extracted from six online digital libraries using article’s title and keyword. The proposed classification framework is expanded on the basis of architecture of video surveillance systems, which is composed of six layers: Concept and Foundation Layer, Network Infrastructure Layer, Processing Layer, Communication Layer, Application Layer, and User Interaction Layer. This review shows, although many publication and research focus on real-time aspect of the challenge, only few researches have investigated the deployment of extracted and retrieved information for forensic video surveillance.

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