![]() | RACV_2018: Recent Advances in Computer Vision:Theories and Applications |
| Website | https://sites.google.com/view/racv2019/home |
| Submission deadline | April 15, 2018 |
| Review Results Returned | July 15, 2018 |
| Final Acceptance Notifications | August 15, 2018 |
| Camera Ready | September 1, 2018 |
Call for Book Chapters
on
Recent Advances in Computer Vision: Theories and Applications
Introduction
Indeed, scarcely a month passes where we do not hear from active research groups and industry an announcement of some new technological breakthrough in the areas of intelligent systems and computational photography related to computer vision field. One aspect of computer vision that makes it such an interesting topic of study and active research field is the amazing diversity of our daily life applications that make use of (or depend on) computer vision or its research finds. Thus, computer vision is a key technology in these applications. For example, in industrial automation, computer vision is routinely used for quality or process control. There are significant contributions for computer vision algorithms in Pedestrian Protection Systems, Driver Assistance Systems, and video surveillance and even in the movie industry (e.g. the use of avatars or the creation of virtual worlds based on recorded images). This is just mentioning a few application areas, which all come with particular digital image data, and exceptional needs to analyze and process these data.
The past and on-going research on computer vision and its related image processing and machine learning covers a wide range of topics and tasks, from basic research to a large number of real-world industrial applications. In recent years, there has been an enormous progress and major results achieved in the field of computer vision. Where, several new methods and robust algorithms have been published in this active research field. For instance, deep learning algorithms have brought a revolution to the computer vision community, introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved. This rapid and tremendous progress is the inspiration for this book. The book gives a comprehensive overview of the most advanced theories, methodologies and modern applications in computer vision. Particularly, these did not cover by the previous books and the most recent research and development. We hope the chapters presented will inspire future research both from theoretical and practical viewpoints to spur further advances in the field.
Recommended Topics
The topics covered by the book will present a collection of high-quality research works written by renowned leaders in the field. The recommended topics include, but are not limited to the following:
- Object Detection and Recognition;
- Human Actions Recognition;
- Face Detection and Recognition;
- Object Segmentation and Shape Models;
- Object Categorization
- Image Classification
- Feature Description and Matching
- Scene Understanding
- Pedestrian Detection
- Visual Tracking
- Feature Learning
- Bag of Features
- Image Registration
- Motion Estimation
- Surveillance Applications
- Vehicle Detection and Tracking
- Learning-Based Methods in Vision
- Biometric
- Performance Evaluation.
Submission Guidelines
Prospective authors are invited to submit original, high quality, unpublished results in the topics mentioned above electronically using EasyChair submission system. Submitted manuscripts will be refereed by at least two independent and expert reviewers for quality, correctness, originality, and relevance. The accepted chapters will be published as a book in the prestigious Studies in Computational Intelligence Series by Springer. Please consider the following points when preparing your manuscript:
- Chapter’s publication is free of charge.
- Each book chapter should be 25-30 pages
- Each chapter is a complete topic and self-contained
- Latex is the preferable word processing tool for preparing the chapters (Template).
- Submitted manuscripts should conform to the author’s guidelines of the Springer (Link)
Indexing: The books of this series are submitted to ISI Web of Science, SCOPUS, DBLP and Springerlink
Important Dates
Full Chapter Submission: April 15, 2018
Review Results Returned: June 15, 2018
Submission of the Revised Chapter: July 15, 2018
Final Acceptance Notifications: August 15, 2018
Submission of Final Chapters (Camera Ready): September 1th, 2018
Expected Publication Date: December 30, 2018
Book Editors
M. Hassaballah (D. Eng.),
Department of Computer Science,
Faculty of Computers and Information,
South Valley University, Luxor, Egypt.
Email: m DOT Hassaballah[@]svu DOT edu DOT eg
Khalid M. Hosny (PhD)
Department of Information Technology
Faculty of Computers and Information
Zagazig University, Egypt
Email:k_hosny [@] yahoo DOT com

