Îïèñàíèå: Since GFs are not widely utilized amongst the tracking community, the book takes the reader from the basics of the subject to applications of theory starting from the simplest problem of single object tracking, and advancing chapter by chapter to more challenging multi-object tracking problems.
Îïèñàíèå: Know how to program the Microsoft Kinect and use the device for applications that interact directly with humans through gestures and motion. This book covers the mathematics and theoretical background needed for depth sensing, motion tracking, and object recognition while maintaining a practical focus on getting things done. You will learn to track the human body in three-dimensional space, analyze the human motion, and remove the background to isolate the person being tracked. You will see how to recognize objects and voice, and transform between the three-dimensional physical space and a computer’s two-dimensional screen. The book is written with real-world applications in mind. It provides step-by-step tutorials and source code for common use cases. The author has worked with startups and Fortune 500 companies, and all of the examples are taken directly from the industry. The book’s practical focus simplifies the core principles, removes the clutter, and allows developers to start writing code right away. Also covered is the use of Azure Cognitive Services on Microsoft’s cloud platform and their use for object and voice recognition, enabling your applications to “see” objects and respond to their environment. What You Will Learn * Visualize color, depth, and body data * Calculate angles between different body joints * Analyze human motion and create fitness applications * Recognize objects and voice using cloud-powered artificial intelligence * Remove the background from a scene to create virtual worlds Who This Book Is For Developers who want to build demanding Kinect apps and games, and those who are looking for a careful balance between theoretical knowledge and practical application that favors the practical. Readers should have a basic knowledge of C# and some familiarity with the Unity3D engine.
Àâòîð: Xing, Weiwei Liu, Weibin Wang, Jun Zhang, Shunli Wang, Lihui Yang, Yuxiang Song, Bowen Íàçâàíèå: Visual Object Tracking from Correlation Filter to Deep Learning ISBN: 981166241X ISBN-13(EAN): 9789811662416 Èçäàòåëüñòâî: Springer Ðåéòèíã: Öåíà: 19564.00 ð. Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.
Îïèñàíèå: The book focuses on visual object tracking systems and approaches based on correlation filter and deep learning.
Îïèñàíèå: With the increase in urban population, it became necessary to keep track of the object of interest. In favor of SDGs for sustainable smart city, with the advancement in technology visual tracking extends to track multi-target present in the scene rather estimating location for single target only. In contrast to single object tracking, multi-target introduces one extra step of detection. Tracking multi-target includes detecting and categorizing the target into multiple classes in the first frame and provides each individual target an ID to keep its track in the subsequent frames of a video stream. One category of multi-target algorithms exploits global information to track the target of the detected target. On the other hand, some algorithms consider present and past information of the target to provide efficient tracking solutions. Apart from these, deep leaning-based algorithms provide reliable and accurate solutions. But, these algorithms are computationally slow when applied in real-time. This book presents and summarizes the various visual tracking algorithms and challenges in the domain. The various feature that can be extracted from the target and target saliency prediction is also covered. It explores a comprehensive analysis of the evolution from traditional methods to deep learning methods, from single object tracking to multi-target tracking. In addition, the application of visual tracking and the future of visual tracking can also be introduced to provide the future aspects in the domain to the reader. This book also discusses the advancement in the area with critical performance analysis of each proposed algorithm. This book will be formulated with intent to uncover the challenges and possibilities of efficient and effective tracking of single or multi-object, addressing the various environmental and hardware challenges. The intended audience includes academicians, engineers, postgraduate students, developers, professionals, military personals, scientists, data analysts, practitioners, and people who are interested in exploring more about tracking.· Another projected audience are the researchers and academicians who identify and develop methodologies, frameworks, tools, and applications through reference citations, literature reviews, quantitative/qualitative results, and discussions.
Àâòîð: Jun Ohya; Akira Utsumi; Junji Yamato Íàçâàíèå: Analyzing Video Sequences of Multiple Humans ISBN: 1402070217 ISBN-13(EAN): 9781402070211 Èçäàòåëüñòâî: Springer Ðåéòèíã: Öåíà: 23751.00 ð. Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.
Îïèñàíèå: Suitable for professional in the fields of computer vision and image processing, this book describes some computer vision-based methods that analyze video sequences of humans. It discusses methods for tracking multiple humans in a scene, estimating postures of a human body in 3D in real-time, and recognizing a person`s behavior.
Îïèñàíèå: This book provides a thorough overview of recent progress in video object segmentation, providing researchers and industrial practitioners with thorough information on the most important problems and developed technologies in the area. Video segmentation is a fundamental topic for video understanding in computer vision. Segmenting unique objects in a given video is useful for a variety of applications, including video conference, video editing, surveillance, and autonomous driving. Given the revolution of deep learning in computer vision problems, numerous new tasks, datasets, and methods have been recently proposed in the domain of segmentation. The book includes these recent results and findings in large-scale video object segmentation as well as benchmarks in large-scale human-centric video analysis in complex events. The authors provide readers with a comprehensive understanding of the challenges involved in video object segmentation, as well as the most effective methods for resolving them.
Îïèñàíèå: Semantic object extraction is an essential element in content-based multimedia services, such as the newly developed MPEG4 and MPEG7 standards. This title provides a review of techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences.
Àâòîð: Guido M. Schuster; Aggelos Katsaggelos Íàçâàíèå: Rate-Distortion Based Video Compression ISBN: 1441951725 ISBN-13(EAN): 9781441951724 Èçäàòåëüñòâî: Springer Ðåéòèíã: Öåíà: 27944.00 ð. Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.
Îïèñàíèå: One of the most intriguing problems in video processing is the removal of the redundancy or the compression of a video signal. In motion compensated lossy video compression the original video sequence is first split into three new sources of information, segmentation, motion and residual error.
Îïèñàíèå: Semantic Video Object Segmentation for Content-Based Multimedia Applications provides a thorough review of state-of-the-art techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences.
Àâòîð: I-Jong Lin; S.Y. Kung Íàçâàíèå: Video Object Extraction and Representation ISBN: 1475783841 ISBN-13(EAN): 9781475783841 Èçäàòåëüñòâî: Springer Ðåéòèíã: Öåíà: 13974.00 ð. Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.
Îïèñàíèå: This book studies two major problems of content-based video proce- ing for a media-based technology: Video Object Plane (VOP) Extr- tion and Representation, in support of the MPEG-4 and MPEG-7 video standards, respectively.
Àâòîð: Duchowski Andrew T. Íàçâàíèå: Eye Tracking Methodology: Theory and Practice ISBN: 1846286085 ISBN-13(EAN): 9781846286087 Èçäàòåëüñòâî: Springer Ðåéòèíã: Öåíà: 13974.00 ð. Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.
Îïèñàíèå: Despite the availability of cheap, fast, accurate and usable eye trackers, there is still little information available on how to develop, implement and use these systems. This second edition of Andrew Duchowski’s successful guide to these systems contains significant additional material on the topic and fills this gap in the market with this accessible and comprehensive introduction.Opening with useful background information, including an introduction to the human visual system and key issues in visual perception and eye movement, the second part surveys eye-tracking devices and provides a detailed introduction to the technical requirements necessary for installing a system and developing an application program. The book focuses on video-based, corneal-reflection eye trackers – the most widely available and affordable type of system, before closing with a look at a number of interesting and challenging applications in human factors, collaborative systems, virtual reality, marketing and advertising.Key features of this second edition include:• Three new chapters providing technical descriptions of new (state-of-the-art) eye tracking technology• A complete new Part describing experimental methodology including experimental design, empirical guidelines, together with 5 case studies• Survey material regarding recent research publications included within Part IVThe second edition of Eye Tracking Methodology is an invaluable guide for practitioners responsible for developing or implementing an eye tracking system, and can also be used as a teaching text for relevant modules on advanced undergraduate and postgraduate courses.‘One of the most comprehensive books on eye tracking ever written. A must-read for novices and experts alike.’Roel Vertegaal, Human Media Lab, Queen’s University, Canada‘… the first comprehensive treatment of a critical methodological area, this book unites the field’s core theoretical underpinnings with real-world applications and practical know-how …’Dario Salvucci, Drexel University, USA
