Online Visual Tracking
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, d…
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Produktdetails
Weitere Autoren: Wang, Dong
- ISBN: 978-981-1304-68-2
- EAN: 9789811304682
- Produktnummer: 27180806
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 128 S.
- Masse: H24.1 cm x B16.0 cm x D1.3 cm 383 g
- Auflage: 2018
- Abbildungen: Book; 80 farbige Abbildungen, Bibliographie
- Gewicht: 383
Über den Autor
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.
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