Visual Object Tracking With Deep Neural Networks

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.

• | Author: Pier Luigi Mazzeo, Srinivasan Ramakrishnan, Paolo Spagnolo, Srinivasan Ramakrishnan
• | Publisher: Intechopen
• | Publication Date: Dec 18, 2019
• | Number of Pages: 208 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 1789851572
• | ISBN-13: 9781789851571