Applied Video Processing in Surveillance and Monitoring Systems

Applied Video Processing in Surveillance and Monitoring Systems

Noted as an IGI Global Core Reference Title in Security & Forensics for 2019.

Nilanjan Dey (Techno India College of Technology, Kolkata, India), Amira Ashour (Tanta University, Egypt) and Suvojit Acharjee (National Institute of Technology Agartala, India)
Indexed In: SCOPUS
Release Date: October, 2016|Copyright: © 2017 |Pages: 321|DOI: 10.4018/978-1-5225-1022-2
ISBN13: 9781522510222|ISBN10: 1522510222|EISBN13: 9781522510239
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Video monitoring has become a vital aspect within the global society as it helps prevent crime, promote safety, and track daily activities such as traffic. As technology in the area continues to improve, it is necessary to evaluate how video is being processed to improve the quality of images.

Applied Video Processing in Surveillance and Monitoring Systems investigates emergent techniques in video and image processing by evaluating such topics as segmentation, noise elimination, encryption, and classification. Featuring real-time applications, empirical research, and vital frameworks within the field, this publication is a critical reference source for researchers, professionals, engineers, academicians, advanced-level students, and technology developers.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Automated Systems
  • False Alarm Reduction
  • Genetic Algorithms
  • Image Segmentation
  • Reconfigurable Architectures
  • Remote Monitoring Systems
  • Video Stenography

Reviews and Testimonials

This collection introduces segmentation, classification, and registration techniques for image and video processing, analyzing the evaluation metric datasets for image and video segmentation methods, and proposes algorithms and models for optimizing surveillance and monitoring systems. Two of the fourteen papers describe the embedding and extraction processes of video steganography and the design of reconfigurable architectures for a least significant bit (LSB) steganography system. Black and white images are provided. No peer review process is noted.

– Protoview Reviews

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Nilanjan Dey, PhD., is an Asst. Professor in the Department of Information Technology in Techno India College of Technology, Rajarhat, Kolkata, India. He holds an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA and Research Scientist of Laboratory of Applied Mathematical Modeling in Human Physiology, Territorial Organization of Scientific and Engineering Unions, Bulgaria, Associate Researcher of Laboratoire RIADI, University of Manouba, Tunisia. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence (IGI Global), US, International Journal of Synthetic Emotions (IJSE) and the International Journal of Rough Sets and Data Analysis (IGI Global), US, Series Editor of Advances in Geospatial Technologies (AGT) Book Series, (IGI Global), US, Executive Editor of International Journal of Image Mining (IJIM), Inderscience, Regional Editor-Asia of International Journal of Intelligent Engineering Informatics (IJIEI), Inderscience and Associated Editor of International Journal of Service Science, Management, Engineering, and Technology, IGI Global. His research interests include: Medical Imaging, Soft computing, Data mining, Machine learning, Rough set, Mathematical Modeling and Computer Simulation, Modeling of Biomedical Systems, Robotics and Systems, Information Hiding, Security, Computer Aided Diagnosis, Atherosclerosis. He has 8 books and 160 international conferences and journal papers. He is a life member of IE, UACEE, ISOC, etc.
Amira S. Ashour is an Asst. Professor and Vice Chair of Computer Engineering Department of in Computers and Information Technology College, Taif University, KSA. Vice Chair of Computers Science Department of in Computers and Information Technology College, Taif University, KSA during 2006 till 2015. She is a Lecturer of Electronics and Electrical Communications Engineering, Faculty of Engg., Tanta University, Egypt. She got her Ph.D. in Smart Antenna (2005) in the Electronics and Electrical Communications Engineering, Tanta University, Egypt. She had her master in “Enhancement of Electromagnetic Non-Destructive Evaluation Performance Using Advanced Signal Processing Techniques,” Faculty of Engineering, Egypt, 2000. Her research interests include Image Processing, Medical Imaging, Smart Antenna and Adaptive Antenna Arrays.
Suvojit Acharjee is an Assistant Professor, NIT Agartala. He was M-Tech in Intelligent Automation and Robotics, Jadavpur University, 2012. He worked as Assistant System Engineer in Tata Consultancy Services Ltd, from 2012 to 2014. He got Indian Patent for a work titled: An efficient transreceiver for Bio-Medical data using Ant Wight Lifting Algorithm on 2014. He has several publications in SCI journals and several conferences. His research interests include Bio-Medical Image Processing, Image Segmentation, Video Compression, Soft Computing.