Human action recognition (HAR) is widely studied computer vision problem and it has many valuable applications in computer vision such as human-computer interaction, video surveillance, electronic entertainment, health care, patient monitoring, nursing homes, smart homes etc. The advancement of human action recognition emerged constantly due to the advancement of the imaging techniques and the upgradation of the camera devices. Different human gestures can be distinguished from the movement of the human skeleton. The meaning of three words, viz. gesture, action and activity are very nearer to each other. Basically, gestures signify elementary movements of human body parts to describe meaningful motions of human body. Composition of multiple gestures of a single person activity makes an action. However, it is a challenging task to recognize actions accurately due to cluttered backgrounds, occlusions, and viewpoint variations, etc. Some of the classical and the state-of the-art approaches for human action recognition are Histogram of Optical Flow (HOF), Histogram of Oriented Gradient (HOG), Space-Time Interest Points (STIP), Motion Interchange Patters (MIP), dense trajectories, etc. The extension of these features to other systems are not very easy as these approaches are difficult and time consuming. Different tasks are applied to determine the large-part of hand-design features and they may enforce different features. In real life, feature selection is very much problem dependent as features are task specific. Uncertainty, imprecision, vagueness etc. are some of criteria of these types of real life human action recognition problems.

The conventional paradigms may not be the accurate solution to figure out these types of problems. The latest intelligent computing paradigms using soft computing tools are expected to offer better solutions to handle these types of solutions. Computational intelligence will provide the solution platform to handle these issues to a considerable extent. The field of computational intelligence furnishes the computing paradigm which faithfully resolves the uncertainties prevalent in the rapidly evolving computing arena.

The proposed book would come to the benefits of several categories of students and researchers. At the students' level, this book can serve as a treatise/reference book for the special papers at the masters level aimed at inspiring possibly future researchers. Newly inducted PhD aspirants would also find the contents of this book useful as far as their compulsory coursework is concerned.

At the researchers' level, those interested in research would also be benefited from the book. After all, the enriched interdisciplinary contents of the book would always be a subject of interest to the faculties, existing research communities and new research aspirants from diverse disciplines of the concerned departments of premier institutes across the globe. This is expected to bring different research backgrounds (due to its cross platform characteristics) close to one another to form effective research groups all over the world. Above all, availability of the book should be ensured to as much universities and research institutes as possible through whatever graceful means it may be.

Recommended Topics for Chapter submission are given below

1. Computational Intelligence for Human Action Recognition
2. Introduction and background to the subject area
3. Overview of human action recognition techniques
4. Different image processing techniques related to human action recognition
5. Advancement of the conventional human action recognition techniques
6. Advancement of the computational intelligence techniques
7. Different intelligent human action recognition techniques
8. Different hybrid intelligent human action recognition techniques

Submission Procedure

• Prospective authors are invited to submit a 3- 4 pages Abstract of the paper along with title of the paper and author details. Abstract should highlight the novelty and contribution of the proposed article.
• Authors need to submit this abstract using the Easy Chair submission link
• Easy Chair link for Submission
• Full Chapter preparation Guidelines and Chapter Template

• Proposal Submission: 28th February 2019
• Notification of Acceptance of Proposals: 10th March 2019
• Full Chapter Submission: 30th April 2019
• Chapter Review Notification: 30th May 2019
• Interim Version Due: 20th June 2019
• Final Notification: 30th June 2019
• Final Revised Chapter Due: 30th July 2019
• Final Acceptance: 20th August 2019

Dr. Sourav De, Cooch Behar Government Engineering College, Cooch Behar, India

Dr. Sourav De did his Bachelors in Information Technology from The University of Burdwan, Burdwan, India in 2002. He did his Masters in Information Technology from West Bengal University of Technology, Kolkata, India in 2005. He completed PhD in Computer Science and Technology from Indian Institute of Engineering & Technology, Shibpur, Howrah, India in 2015. He is currently an Associate Professor of Computer Science & Engineering Department in Cooch Behar Government Engineering College, West Bengal. Previous to this, he was an Assistant Professor for ten years in the Department of Computer Science and Engineering and Information Technology of University Institute of Technology, The University of Burdwan, Burdwan, India. He served as a Junior Programmer in Apices Consultancy Private Limited, Kolkata, India in 2005. He is a co-author of one book and the co-editor of 6 books and has more than 33 research publications in internationally reputed journals, international edited books and international IEEE conference proceedings to his credit. He served as reviewer in several International IEEE conferences and also in several international editorial books. He also served as reviewer in Applied Soft Computing, Elsevier, B. V. He has been the member of the organizing and technical program committees of several national and international conferences. He has been invited in different seminars as an expert speaker. His research interests include soft computing, pattern recognition, image processing and data mining. Dr. De is a member of IEEE, ACM, Computer Science Teachers Association (CSTA) and IAENG, Hong Kong. He is a life member of ISTE, India.

Prof. (Dr.) Paramartha Dutta , Visva Bharati University, Bolpur, India

Dr. Paramartha Dutta, born 1966, did his Bachelors and Masters in Statistics from the Indian Statistical Institute, Calcutta in the years 1988 and 1990 respectively. He afterwards completed his Master of Technology in Computer science from the same Institute in the year 1993 and Doctor of Philosophy in Engineering from the Bengal Engineering and Science University, Shibpur in 2005 respectively. He has served in the capacity of research personnel in various projects funded by Govt. of India, which include DRDO, CSIR, Indian Statistical Institute, Calcutta etc. Dr. Dutta is now a Professor in the Department of Computer and System Sciences of the Visva Bharati University, West Bengal, India. Prior to this, he served Kalyani Government Engineering College and College of Engineering in West Bengal as full time faculty members. Dr. Dutta remained associated as Visiting/Guest Faculty of several Universities/Institutes encompassing West Bengal University of Technology, Kalyani University, Tripura University, National Institute of Technology, Arunachal Pradesh to name some. He has coauthored eight books and has also eleven edited books with leading publishing houses such as Springer, Elsevier, John Wiley, Taylor and Francis, IGI Global etc. to his credit. He has published more than two hundred papers in various journals and conference proceedings, both international and national as well as several book chapters in edited volumes of reputed International publishing houses like Elsevier, Springer-Verlag, CRC Press, John Wiley, IGI Global to name a few. Dr. Dutta has guided seven scholars who already had been awarded their Ph. D. In addition, three of his scholars have submitted their Ph. D theses. Presently, he is supervising six scholars registered for their Ph. D program. Dr. Dutta is the coinventor of six published Indian Patents and one published International Patent. Dr. Dutta as investigator, could successfully implement projects funded by AICTE, DST of the Govt. of India. Prof. Dutta has served/serves in the capacity of external member of Boards of Studies of relevant departments of various Universities like West Bengal University of Technology, Kalyani University, Tripura University, Assam University, Silchar to name a few. He had the opportunity to serve as the expert of several Selection Boards conducted by West Bengal Public Service Commission, Assam University, Silchar, National Institute of Technology, Arunachal Pradesh, Sambalpur University etc. Dr. Dutta is a Life Fellow of the Optical Society of India (OSI), Institute of Electronics and Telecommunication Engineering (IETE), Institution of Engineers of India (IE(I)), Life Senior Member of Computer Society of India (CSI), Life Member of Indian Science Congress Association (ISCA), International Association for Computer Science and Information Technology (IACSIT), International Association of Engineers, Hong Kong (IEng), Indian Society for Technical Education (ISTE), Indian Unit of Pattern Recognition and Artificial Intelligence (IUPRAI) – the Indian affiliate of the International Association for Pattern Recognition (IAPR), Senior Member of Association of Computing Machinery (ACM), IEEE Computer Society (USA),

CRC Press is a premier global publisher of science, technology, and medical resources. We offer unique, trusted content by expert authors, spreading knowledge and promoting discovery worldwide. We aim to broaden thinking and advance understanding in the sciences, providing researchers, academics, professionals, and students with the tools they need to share ideas and realize their potential.

The link for the book series is given below: https://www.crcpress.com/go/focuscia

Dr. Sourav De

Cooch Behar Government Engineering College

Vill- Harinchawra, P.O. - Ghughumari, Cooch Behar - 736170, India

Mobile: +919232795456

Email : dr.sourav.de79@gmail.com