Computer Vision: Object Detection In Adversarial Vision

Author:   inal Kanti Bhowmik (Tripura University, India)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032557496


Pages:   190
Publication Date:   26 December 2025
Format:   Paperback
Availability:   Not yet available   Availability explained
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Computer Vision: Object Detection In Adversarial Vision


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Author:   inal Kanti Bhowmik (Tripura University, India)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
ISBN:  

9781032557496


ISBN 10:   1032557494
Pages:   190
Publication Date:   26 December 2025
Audience:   General/trade ,  College/higher education ,  Professional and scholarly ,  General ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

1. Fundamentals of Object Detection 2. Background of Degradation 3. Imaging Modalities for Object Detection 4. Real Time Benchmark Datasets for Object Detection 5. Artifacts Impact on Different Object Visualization 6. Visibility Enhancement of Images in Degraded Vision 7. Object Detection in Degraded Vision 8. Hands-on Practical for Object Detection Approaches in Degraded Vision

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Author Information

Mrinal Kanti Bhowmik earned a Bachelor of Engineering (BE) degree in Computer Science and Engineering from the Tripura Engineering College, Government of Tripura, in 2004, a Master of Technology (M.Tech) degree in Computer Science and Engineering from Tripura University (A Central University), India, in 2007, and a PhD in Engineering from Jadavpur University, Kolkata, India, in 2014. He has also spent the Fall 2022 session as a DST-SERB International Research Experience (SIRE) Scholar with SIRE Fellowship, sponsored by the Science and Engineering Research Board (SERB), Government of India at the NYU Center for Cybersecurity (CCS), Tandon School of Engineering, New York University, New York City. He has successfully completed two Department of Electronics and Information Technology (DeitY) (Now Ministry of Electronics and Information Technology [MeitY])-funded projects, one Department of Biotechnology (DBT)-Twinning project, one Society for Applied Microwave Electronics Engineering and Research (SAMEER)-funded project, one Indian Council of Medical Research (ICMR) project, and one Defence Research and Development Organisation (DRDO) project as the Principal Investigator. He is currently the Principal Investigator of one Department of Biotechnology (DBT)-funded project and Co–Principal Investigator of one Indian Council of Medical Research (ICMR) project in collaboration with All India Institute of Medical Sciences (AIIMS), New Delhi. Since July 2010, he has served with the Department of Computer Science and Engineering, Tripura University as an Assistant Professor and from 26th March, 2023 he has been serving with Department of Computer Science and Engineering, Tripura University as an Associate Professor. He was awarded the Short Term Indian Council of Medical Research (ICMR), Department of Health Research (DHR) International Fellowship from 2019 to 2020 as a Senior Indian Biomedical Scientist for bilateral cooperation in cross-disciplinary research area (i.e., biomedical diagnostic and inferencing systems). His research team has also designed two datasets for object detection in degraded vision named Extended Tripura University Video Dataset (E-TUVD) and Tripura University Video Dataset at Night time (TU-VDN) dataset for the research community in the proposed domain of object detection. His current research interests are in the fields of computer vision, security and surveillance, medical imaging, and image and video forensics.

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