{"product_id":"9789819571291","title":"Spatiotemporal Image Understanding Action, Activity and Behavior","description":"\u003ch1\u003eSpatiotemporal Image Understanding\u003c\/h1\u003e\u003ch2\u003eAction, Activity and Behavior\u003c\/h2\u003e\u003ch3\u003eYu-Jin Zhang\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Artificial Intelligence \/ Computer Vision \u0026amp; Pattern Recognition\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp style=\"text-align: justify;\"\u003eWhat does it take to move from recognizing static objects in images to truly understanding dynamic human behavior in complex scenes? This book provides the answer by introducing a groundbreaking framework that fuses image engineering with spatiotemporal behavior understanding (STBU), offering an in-depth exploration of how action, interaction, and context converge in real-world image analysis.\u003c\/p\u003e\r\n\u003cp style=\"text-align: justify;\"\u003ePositioned at the intersection of image understanding, neural networks, and behavioral modeling, this volume equips researchers and engineers with the principles, methods, and architectures needed to analyze and interpret dynamic visual data. It guides readers through each stage of the pipeline—from interest point detection and trajectory learning to action classification, activity modeling, and human-object interaction analysis—culminating in advanced topics such as abnormal event detection and graph-based neural modeling. Throughout, the book introduces deep learning strategies for action and behavior recognition, high-order modeling techniques that integrate motion, posture, and context, and transformer-based approaches for human-object interaction. It also addresses practical challenges such as differential explosion and adapting recognition models to varied scene content.\u003c\/p\u003e\r\n\u003cp style=\"text-align: justify;\"\u003eThis book is essential reading for graduate students, researchers, and practitioners in computer vision, artificial intelligence, and robotics who seek a comprehensive yet accessible guide to high-level image understanding. A working knowledge of machine learning and basic computer vision concepts is recommended for full benefit. Whether you're advancing academic research or building real-world intelligent systems, this volume provides both the theoretical insight and applied techniques to push the frontier of spatiotemporal image understanding.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003cp style=\"text-align: justify;\"\u003eYu-Jin Zhang is a Professor of Image Engineering at Tsinghua University, Beijing, where he has been on faculty since 1993. He received his Ph.D. in Applied Science from the State University of Liège, Belgium, in 1989, followed by postdoctoral research at Delft University of Technology in the Netherlands. With over three decades of experience in image processing,\u003cspan data-olk-copy-source=\"MessageBody\"\u003eImage Analysis,\u003c\/span\u003e image understanding, and visual information retrieval, he is widely recognized as a leading scholar in the field. \u003c\/p\u003e\r\n\u003cp style=\"text-align: justify;\"\u003eProfessor Zhang has authored more than 550 peer-reviewed research papers and published over 20 academic books, including Handbook of Image Engineering (Springer, 2021), A Selection of Image Processing Techniques (CRC Press, 2022),\u003cspan data-olk-copy-source=\"MessageBody\"\u003eA Selection of Image Analysis Techniques (CRC Press, 2023),\u003c\/span\u003eA Selection of Image Understanding Techniques (CRC Press, 2023), and 3-D Computer Vision: Foundations and Advanced Methodologies (Springer, 2024). His work has significantly shaped the landscape of \u003cspan data-olk-copy-source=\"MessageBody\"\u003eimage engineering (image processing, analysis and understanding)\u003c\/span\u003e.\u003c\/p\u003e\r\n\u003cp style=\"text-align: justify;\"\u003eIn addition to his research, \u003cspan data-olk-copy-source=\"MessageBody\"\u003ehe has published more than 40 textbooks in Image engineering, developed and taught \u003c\/span\u003emore than ten specialized courses at Tsinghua University and abroad, inspiring generations of students and practitioners. He is a Fellow of SPIE and the China Society of Image and Graphics (CSIG), and he served as Program Chair of ICIP 2017.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e16 May 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Singapore\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9789819571291\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e246\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Singapore","offers":[{"title":"Default Title","offer_id":45608578187404,"sku":"9789819571291","price":179.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9789819571291.jpg?v=1781088109","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9789819571291","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}