eBook - PDF
Visual Object Tracking with Deep Neural Networks
Pier Luigi Mazzeo, Srinivasan Ramakrishnan, Paolo Spagnolo
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- 206 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Visual Object Tracking with Deep Neural Networks
Pier Luigi Mazzeo, Srinivasan Ramakrishnan, Paolo Spagnolo
Book details
Table of contents
Citations
About This Book
Visual object tracking (VOT) and face recognition (FR) are essential tasks in computer vision with various real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security. This book presents the state-of-the-art and new algorithms, methods, and systems of these research fields by using deep learning. It is organized into nine chapters across three sections. Section I discusses object detection and tracking ideas and algorithms; Section II examines applications based on re-identification challenges; and Section III presents applications based on FR research.
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Information
Table of contents
- Visual Object Tracking with Deep Neural Networks
- Contents
- Preface
- Section 1 Detection and Tracking
- Section 2 Re-Identification
- Section 3 Face Recognition
Citation styles for Visual Object Tracking with Deep Neural Networks
APA 6 Citation
[author missing]. (2019). Visual Object Tracking with Deep Neural Networks ([edition unavailable]). IntechOpen. Retrieved from https://www.perlego.com/book/2026504/visual-object-tracking-with-deep-neural-networks-pdf (Original work published 2019)
Chicago Citation
[author missing]. (2019) 2019. Visual Object Tracking with Deep Neural Networks. [Edition unavailable]. IntechOpen. https://www.perlego.com/book/2026504/visual-object-tracking-with-deep-neural-networks-pdf.
Harvard Citation
[author missing] (2019) Visual Object Tracking with Deep Neural Networks. [edition unavailable]. IntechOpen. Available at: https://www.perlego.com/book/2026504/visual-object-tracking-with-deep-neural-networks-pdf (Accessed: 15 October 2022).
MLA 7 Citation
[author missing]. Visual Object Tracking with Deep Neural Networks. [edition unavailable]. IntechOpen, 2019. Web. 15 Oct. 2022.