Feature Detectors and Motion Detection in Video Processing
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Feature Detectors and Motion Detection in Video Processing

Nilanjan Dey, Amira Ashour, Prasenjit Kr. Patra
Indexed In: SCOPUS View 1 More Indices
Release Date: October, 2016|Copyright: © 2017 |Pages: 328
DOI: 10.4018/978-1-5225-1025-3
ISBN13: 9781522510253|ISBN10: 1522510257|EISBN13: 9781522510260
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Description & Coverage
Description:

Video is one of the most important forms of multimedia available, as it is utilized for security purposes, to transmit information, promote safety, and provide entertainment. As motion is the most integral element in videos, it is important that motion detection systems and algorithms meet specific requirements to achieve accurate detection of real time events.

Feature Detectors and Motion Detection in Video Processing explores innovative methods and approaches to analyzing and retrieving video images. Featuring empirical research and significant frameworks regarding feature detectors and descriptor algorithms, the book is a critical reference source for professionals, researchers, advanced-level students, technology developers, and academicians.

Coverage:

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

  • 3D Animation Reconstruction
  • Digital Image Processing
  • Educational Data Mining
  • Feature Detectors
  • Medical Video Processing
  • Object Recognition
  • Vision-Based Protective Devices
Reviews & Statements

Researchers in computer science, electronics, and information explore algorithms for detecting and describing features in video and image processing in such fields as computer video, security monitoring, and medical device engineering. Their topics include educational data mining and the Indian technical education system, the analysis of different feature description algorithms in object recognition, a thinning strategy for character images based on nearest opposite contour pixel, a study on various image processing techniques and hardware implementation using the Xilinx system generator, a new redundant manipulator robot with six degrees of freedom controlled with visual feedback, and an in silico approach to predicting the epitope for designing a novel vaccine delivery system.

– Protoview Reviews
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Editor/Author Biographies
Nilanjan Dey, Ph.D., 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- Sgientifig 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 Rough Sets and Data Analysis (IGI Global), US, and the International Journal of Synthetic Emotions (IJSE), IGI Global, US. He is 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 170 international conferences and journal papers. He is a life member of IE, UACEE, ISOC etc. https://sites.google.com/site/nilanjandeyprofile.
Amira S. Ashour, Ph.D., is an Assistant Professor and Vice Chair of Computer Engineering Department, Computers and Information Technology College, Taif University, KSA. She has been the vice chair of CS department, CIT college, Taif University, KSA for 5 years. She is in the Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Egypt. She received her PhD in the Smart Antenna (2005) from the Electronics and Electrical Communications Engineering, Tanta University, Egypt. Her research interests include: image processing, Medical imaging, Machine learning, Biomedical Systems, Pattern recognition, Signal/image/video processing, Image analysis, Computer vision, and Optimization. She has 4 books and about 70 published journal papers. She is an Editor-in-Chief of the International Journal of Synthetic Emotions (IJSE), IGI Global, US. She is an Associate Editor for the IJRSDA, IGI Global, US as well as the IJACI, IGI Global, US. She is an Editorial Board Member of the International Journal of Image Mining (IJIM), Inderscience.
Prasenjit Kumar Patra is an Asst. Professor in the Department of computer science in Bengal College of Engineering and Technology, Durgapur, India. He acquired the B. Tech degree on 2009 and M. Tech on 2013 in Computer Science Engineering. His work has spanned a seeming widely diverse set of topics, Data mining, scheduling techniques in distributed environments, Fault tolerance in distributed computing environments, availability for services and high-performance with the help of proper resource allocation, sensor networks.
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