The book focuses on visual object tracking systems and approaches based on correlation filter and deep learning. Both foundations and implementations have been addressed. The algorithm, system design and performance evaluation have been explored for three kinds of tracking methods including correlation filter based methods, correlation filter with deep feature based methods, and deep learning based methods. Firstly, context aware and multi-scale strategy are presented in correlation filter based trackers; then, long-short term correlation filter, context aware correlation filter and auxiliary relocation in SiamFC framework are proposed for combining correlation filter and deep learning in visual object tracking; finally, improvements in deep learning based trackers including Siamese network, GAN and reinforcement learning are designed. The goal of this book is to bring, in a timely fashion, the latest advances and developments in visual object tracking, especially correlation filter and deep learning based methods, which is particularly suited for readers who are interested in the research and technology innovation in visual object tracking and related fields.
This book explores Hui (one of the Muslim minority groups in China) students’ lived experiences in an elementary school in central P. R. China from the perspectives of philosophical foundations of education and the sociology of education, the impact of their experiences on their identity construction, and what schooling means to Hui students. The book describes a vivid picture of how the Hui construct their own identities in the public school setting, and how the state curricula, teachers, and parents play roles in student identity construction. The objectives of the book are to discover factors that impact Hui students’ identity construction and have caused Hui students to know little about their own culture and language; and to explore what should be done to help teachers, administrators, and policy makers appreciate minority culture and include minority culture and knowledge in school curriculum in order to meet the needs of Hui students. The book provides historical, policy, and curricular contexts for readers to understand Hui students’ experiences in central China, and discusses the cultural differences between Han and Hui from a philosophical level. The book uses postcolonial theory to critique the assimilative nature of school education, the construction of Hui students’ identity from Han ideology, and the cultural hegemony of the mainstream Han group. It also discusses curriculum reconceptualization both in China and globally, and the possibility of multicultural education in China.
This book discusses accountability and privacy in network security from a technical perspective, providing a comprehensive overview of the latest research, as well as the current challenges and open issues. Further, it proposes a set of new and innovative solutions to balance privacy and accountability in networks in terms of their content, flow and service, using practical deep learning techniques for encrypted traffic analysis and focusing on the application of new technologies and concepts. These solutions take into account various key components (e.g. the in-network cache) in network architectures and adopt the emerging blockchain technique to ensure the security and scalability of the proposed architectures. In addition, the book examines in detail related studies on accountability and privacy, and validates the architectures using real-world datasets. Presenting secure and scalable solutions that can detect malicious behaviors in the network in a timely manner without compromising user privacy, the book offers a valuable resource for undergraduate and graduate students, researchers, and engineers working in the fields of network architecture and cybersecurity.
Flame retardant materials are of vital importance in guaranteeing personal security. Especially the demand for non-toxic, low smoking, polymerized flame retardants increases and new materials enter the market. The authors present the fundamental theory of polymer combustion, compare different flame retardants, describe smoke suppression mechanisms, and explain analyzing techniques for new materials.
This book focuses on typical health services and remote monitoring methods, such as visual recognition and deep learning. Chiefly addressing the design and simulation of rehabilitation devices, and the evaluation of their effects on various diseases, it offers a valuable resource for professional researchers and graduate students in the fields of elderly medicine, signal processing, and rehabilitation.
The book focuses on visual object tracking systems and approaches based on correlation filter and deep learning. Both foundations and implementations have been addressed. The algorithm, system design and performance evaluation have been explored for three kinds of tracking methods including correlation filter based methods, correlation filter with deep feature based methods, and deep learning based methods. Firstly, context aware and multi-scale strategy are presented in correlation filter based trackers; then, long-short term correlation filter, context aware correlation filter and auxiliary relocation in SiamFC framework are proposed for combining correlation filter and deep learning in visual object tracking; finally, improvements in deep learning based trackers including Siamese network, GAN and reinforcement learning are designed. The goal of this book is to bring, in a timely fashion, the latest advances and developments in visual object tracking, especially correlation filter and deep learning based methods, which is particularly suited for readers who are interested in the research and technology innovation in visual object tracking and related fields.
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