Visual Object Tracking with Deep Neural Networks
- 210 pages
- English
- PDF
- Available on iOS & Android
Visual Object Tracking with Deep Neural Networks
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
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