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.
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. [Editor]