Computational Intelligence in Surveillance Systems Using Image Processing

Nyhet

Häftad, Engelska, 2026

Av Jay Kumar Pandey, Mritunjay Rai, Momina Shaheen, Faizan Ahmad

2 549 kr

Kommande

Traditional surveillance systems struggle to process large volumes of visual data, identify specific objects or behaviors, and adapt to dynamic environments. Computational intelligence, which encompasses techniques like artificial intelligence (AI), machine learning (ML), and computer vision, offers powerful tools to address these challenges by enabling automated analysis, pattern recognition, and decision-making based on visual data. Computational Intelligence in Surveillance Systems Using Image Processing addresses the unique challenges and ethical considerations of applying AI and ML, offering a nuanced understanding of the regulatory landscape. It provides insights into the responsible development and deployment of technologies to unlock the transformative potential of computational intelligence to revolutionize surveillance systems and advance the capabilities of security and monitoring across various sectors.

Discusses emerging trends, potential challenges, and areas for future research, providing a roadmap for scholars looking to contribute to the evolving field of image processing
Explains how AI and ML algorithms can be applied to analyze and interpret visual data captured by surveillance cameras
Considers the challenges and considerations associated with deploying computational intelligence in surveillance, including privacy concerns, ethical considerations, and technical limitations
Explores specific use cases and applications where computational intelligence can enhance surveillance capabilities, such as object detection, activity recognition, anomaly detection, and predictive analytics

Produktinformation

Utgivningsdatum2026-03-01
Mått191 x 235 x undefined mm
Vikt450 g
FormatHäftad
SpråkEngelska
Antal sidor350
FörlagElsevier Science
ISBN9780443364082

Tillhör följande kategorier

Artificiell intelligens inom Data och it
Systemvetenskap och AI inom Data och it
Människa – datorinteraktion inom Data och it

Dr. Jay Kumar Pandey is currently working as an Assistant Professor in the Department of Electronics and Communication Engineering at Shri Ramswaroop Memorial University, Barabanki (U.P.) India. Dr. Pandey has completed his Ph.D. in 2022 in renewable energy and has done his M.Tech. With specialization in Power Control (Instrumentation) and also done his MBA from Finance and Marketing. His subjects of interest are related to Biomedical & Healthcare, Image Processing, Digital Electronics, Machine Learning and Solar. He has 13 years of teaching and research experience has published more than 30 research papers in National and International journals /conferences & Book Chapters in CRC, NOVA, Taylor & Fransis, Springer and IGI Publisher. Dr. Pandey is an editor of books (edited) published by reputed publishers AAP & IGI .Dr. Pandey is also Editor of Journal of Technology Innovations and Energy United States. Dr. Pandey having reviewer in different conference/Journal/Book Chapters like (The Journal of Supercomputing in Springer Nature, IGI publishing, Journal of Security and Communication Networks Hindawi, Journal of Biomimetics, Biomaterials and Biomedical Engineering (JBBBE) Scientific Net, Switzerland, Advanced Engineering Forum (AEF) Scientific Net , Switzerland)Dr. Mritunjay Rai is currently working as an Assistant Professor in Department of ECE in Shri Ramswaroop Memorial University Deva Road, Barabanki, (U.P.), India. He has received his Ph.D. in 2023 from IIT (ISM), Dhanbad in Electrical Engineering with a specialization in Image Processing, Master of Engineering with distinction in 2013 from Birla Institute of Technology, Mesra, Ranchi, in Instrumentation and Control, and B. Tech. in 2009 in ECE from Shri Ramswaroop Memorial College of Engineering and Management, Lucknow. Dr. Rai is an active researcher and has published several papers in SCI indexed Q2 journals and at international and national conferences in his domain. His areas of interest lie in image processing, medical image processing, healthcare system, Artificial Intelligence, Machine Learning, Deep Learning, IoT, Communication, speech processing, and robotics & automation. Currently he is actively working over various statistical models to improve the efficiency of surveillance system.Momina Shaheen is Lecturer of Computing, in University of Roehampton, London, United Kingdom. She has more than 6+ years of experience in research and academia. She has 10 journal and 3 conference publications. She is a Ph.D. Scholar of University of Management and Technology, Lahore, Pakistan. She earned her master’s in software engineering from Bahria University Islamabad Campus in 2016. She has supervised and initiated several projects in her career. She has led different project in Machine Learning, Data Science, Artificial Intelligence, Federated Learning, Agent-based Modelling, Cognitive Sciences and Distributed Systems. Dr Faizan Ahmad is a recognized leader in the field of Computer Science, specializing in Human-computing interaction who previously led a Research Center for Human-Computer Interaction in his previous role for 5 years and published 17 high-quality research articles with a citation count of 460 in prestigious journals and conferences. Currently, he is serving a research and teaching leadership role at Cardiff Metropolitan University Wales, UK. He led research on Human-computing Interaction, Augmented and Virtual reality. He is leading an international research collaboration, currently leading MoUs with international research institutions.

1. Introduction to Computational Intelligence in Surveillance2. Fundamentals of Image Processing for Surveillance3. Role of Computational Intelligence in Surveillance4. Overview of computer vision techniques for object detection, tracking, and recognition5. Types of Surveillance Systems6. Image Acquisition and Preprocessing7. Object Detection and Recognition8. Behavior Analysis and Anomaly Detection9. Applications of anomaly detection algorithms in identifying abnormal events10. Real-time Processing and Decision-making11. Implementing decision-making algorithms for automated responses12. Future Trends and Innovations13. Integration with IoT and Smart Systems14. Interoperability of computational intelligence with smart city infrastructure.