Titlebook: Online Visual Tracking; Huchuan Lu,Dong Wang Book 2019 Springer Nature Singapore Pte Ltd. 2019 Visual Tracking.Correlation Filter.Sparse R

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Book 2019ual tracking remains a highly active area of research in Computer Vision and the performance under complex scenarios has substantially improved, driven by the high demand in connection with real-world applications and the recent advances in machine learning. A large variety of new algorithms have be

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inal research ideas and also approaching the technology from.This book presents the state of the art in online visual tracking, including the motivations, practical algorithms, and experimental evaluations. Visual tracking remains a highly active area of research in Computer Vision and the performan

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Correlation Tracking,attempts usually focus on the former one while pay less attention to reliability learning, which makes the learned filters dominated by the unexpected salient regions on the feature map, thereby resulting in model degradation.

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Book 2019turn, Chapters 8 and 9 introduce the cutting-edge tracking methods based on correlation filter and deep learning. Chapter 10 summarizes the book and points out potential future research directions for visual tracking. .The book is self-contained and suited for all researchers, professionals and post

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lter and deep learning. Chapter 10 summarizes the book and points out potential future research directions for visual tracking. .The book is self-contained and suited for all researchers, professionals and post978-981-13-0469-9

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tened by pollution. Slovenia has a small share of coastal water: part of the Adriatic Sea’s Gulf of Trieste. Many parts of the country are threatened by different types of floods. The right to drinkable water is mentioned in the Slovenian constitution as a fundamental right.

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