Online Visual Tracking

Huchuan Lu · Dong Wang

2019-ж. май · Springer

Электрондук китеп

128

Барактар

Рейтинг жана сын-пикирлер текшерилген жок Кеңири маалымат

Учкай маалымат

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 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 been proposed in the literature over the last two decades, with mixed success.

Chapters 1 to 6 introduce readers to tracking methods based on online learning algorithms, including sparse representation, dictionary learning, hashing codes, local model, and model fusion. In Chapter 7, visual tracking is formulated as a foreground/background segmentation problem, and tracking methods based on superpixels and end-to-end deep networks are presented. In turn, 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 postgraduate students working in the fields of computer vision, pattern recognition, and machine learning. It will help these readers grasp the insights provided by cutting-edge research, and benefit from the practical techniques available for designing effective visual tracking algorithms. Further, the source codes or results of most algorithms in the book are provided at an accompanying website.

Автор жөнүндө

Huchuan Lu received his MS in Signal and Information Processing and his PhD in System Engineering from Dalian University of Technology (DUT), Dalian, China, in 1998 and 2008, respectively. He joined the DUT faculty in 1998 and currently is a Full Professor at the School of Information and Communication Engineering. His current research interests include computer vision and pattern recognition with a focus on visual tracking, saliency detection, and segmentation. He is a member of the ACM and an Associate Editor of the IEEE Transactions on Cybernetics.

Dong Wang received his BE in Electronic Information Engineering and his PhD in Signal and Information Processing from Dalian University of Technology (DUT), China, in 2008 and 2013, respectively. He is currently a Faculty Member with the School of Information and Communication Engineering, DUT. His current research interests include facial recognition, interactive image segmentation, and object tracking.

Бул электрондук китепти баалаңыз

Оюңуз менен бөлүшүп коюңуз.

Окуу маалыматы

Смартфондор жана планшеттер

Android жана iPad/iPhone үчүн Google Play Китептер колдонмосун орнотуңуз. Ал автоматтык түрдө аккаунтуңуз менен шайкештелип, кайда болбоңуз, онлайнда же оффлайнда окуу мүмкүнчүлүгүн берет.

Ноутбуктар жана компьютерлер

Google Play'ден сатылып алынган аудиокитептерди компьютериңиздин веб браузеринен уга аласыз.

eReaders жана башка түзмөктөр

Kobo eReaders сыяктуу электрондук сыя түзмөктөрүнөн окуу үчүн, файлды жүктөп алып, аны түзмөгүңүзгө өткөрүшүңүз керек. Файлдарды колдоого алынган eReaders'ке өткөрүү үчүн Жардам борборунун нускамаларын аткарыңыз.

Мыйзамсыз нерсе жөнүндө кабарлоо