Overview
- Provides basic information on object detection and tracking in a digital video stream using various background separation and learning based approaches
- Presents information about various systems, which are currently used for object detection and tracking
- Studies and evaluates 3-D object detection and tracking algorithms for digital video stream using various background separation methods and learning algorithm
Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)
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Table of contents (5 chapters)
Authors and Affiliations
About the authors
Dr. Navneet Ghedia is currently working as a Principal & Professor in Electronics and Communication Department, Sanjaybhai Rajguru College of Engineering, Rajkot. Dr. Navneet Ghedia received his Ph.D. degree in Image and Video Processing from Gujarat Technological University, Ahmedabad, Gujarat in 2018 with outstanding research contribution in his doctoral research program. He has over 20 years of academic and 5 year of industrial experience in research, teaching and entrepreneurship. His research interests are focused on Video Processing, Image Processing, Speech and Signal Processing. He is having more than 18 Research Publications in referred and Indexed Journals. The innovative teaching practices he introduced include integrating entrepreneurship into class material as well as involving engineering students with the local community. Also, he is active participant in various international in referred organizations, program committees and reviewer of journals. He is committed to excellence for his work and has a mission to embark and embrace students with Deep Knowledge and resources by taking academia to next level by incorporating with large corporations, non-profits organizations and research centers.
Dr. Chandresh Vithalani is currently working as Head of Department & Professor in Electronics and Communication Department, Government Engineering College, Rajkot. Dr. Vithalani received his Ph.D. degree from Gujarat University, Ahmedabad, Gujarat in 2006 with outstanding research contribution in his doctoral research program. He has more than 23 years of academic and phenomenal deep intense of industrial experience in research, teaching and entrepreneurship namely Hindustan Conductors Pvt. Ltd., Canada India Institute Industry Linkage Project, Telecom officer at Telecommunication department and many more to go. He is also a man with strength in field of Electronics and telecommunication by means of deep internships, as a tutor, a coach and upskilled workby internship and training from renowned organizations and research centers. His research interests are focused on Video Processing, Image Processing, Speech Analysis and Signal Processing, Wireless Communication and many more are a few to refer his strength in different conglomerate of areas. He is having more than 32 Research Publications in various International and National Journals in referred and Indexed Journals namely IEEE International Journal, ISSN, Internal ARAB Journal etc. He is famed for as a distinguished personality due to his energetic active participation and enthusiasm in numerous seminars and Workshops which forged him into a precious knowledge of library. He has delivered many expert talks on magnificent topics in field of electronics & Communication in esteemed organization namely Tata Telecom Ltd., SVNIT, I.E.T.E Center- Vadodara, Government Institutes, private Institutes and many more. He guided more than 100 Post Graduations dissertation, 8 Ph.D. Students andmany other Ph. D students are still currently under the guidance of him.
Dr. Ashish Kothari received his Ph.D. in Digital Video Watermarking from JJT University, Rajasthan, India in 2013. He is working as a Deputy Registrar, Atmiya University, Gujarat, India. He is also working as an Associate professor and Electronics and Communication Engineering, Atmiya Institute of Technology and Science, Rajkot, Gujarat, India. He is also recognized Ph.D. supervisor at Gujarat Technological University, Ahmedabad, Gujarat, India. His area of research interest is Image Processing, Video Processing, Digital Watermarking, and Signal Processing. He has published 2 books, 1 book chapters and more than 25 research papers to his credit in refereed & indexed journals, and conferences at the international and national level. His international recognition includes his professional memberships & services in refereed organizations, program committees and reviewer for journals.
Dr. Rohit Thanki is a computer vision expert and AI researcher with more than 8 years of research and development experience in computer vision, artificial intelligence, medical image analysis & security, and biometrics, including more than 3 years of academic experience in various engineering institutions in India. Presently, he is working as a head of research & development, Prognica Labs Tech FZCO, Dubai, UAE. Also, he was associated as a software consultant for Ennoventure Technologies Private Limited, Bengaluru, India. He earned his bachelor's in electronics & communication, a master's in communication engineering, and a doctorate in electronics & communication specializing in digital image processing and biometric security. His areas of research interest are medical image analysis, artificial intelligence, machine learning, deep learning, digital watermarking, biometric security, compressive sensing, and signal processing. He has over 40 publications to his credit and has published in reputed journals with high impact factors and international conferences indexing in Scopus / SCIE / WOS. Also, He has authored and contributed more than 20 books with respected publishers, i.e., Springer, CRC Press, Elsevier, De Gruyter, and IGI Global. In addition, he has been invited as a reviewer in various reputed journals such as IEEE Transactions on Audio, Speech and Natural Language Processing, ACM Transactions on Multimedia Computing, Communications and Applications, IEEE Consumer Electronics Magazine, IEEE Access, IEEE Journal of Biomedical and Health Informatics, Signal Processing: Image Communication, Pattern Recognition, Computers, and Electrical Engineering, Informatics in Medicine, Journal of Ambient Intelligence and Humanized Computing, IET Biometrics, and IET Image Processing.
Bibliographic Information
Book Title: Moving Objects Detection Using Machine Learning
Authors: Navneet Ghedia, Chandresh Vithalani, Ashish M. Kothari, Rohit M. Thanki
Series Title: SpringerBriefs in Electrical and Computer Engineering
DOI: https://doi.org/10.1007/978-3-030-90910-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-030-90909-3Published: 17 December 2021
eBook ISBN: 978-3-030-90910-9Published: 01 January 2022
Series ISSN: 2191-8112
Series E-ISSN: 2191-8120
Edition Number: 1
Number of Pages: VII, 85
Number of Illustrations: 10 b/w illustrations, 19 illustrations in colour
Topics: Communications Engineering, Networks, Computer Imaging, Vision, Pattern Recognition and Graphics, Computational Intelligence