Visual Object Tracking with Deep Neural Networks / / edited by Pier Luigi Mazzeo, Srinivasan Ramakrishnan, and Paolo Spagnolo.

• TeilnehmendeR: Mazzeo, Pier Luigi,; Ramakrishnan, Srinivasan,; Spagnolo, Paolo,
• Place / Publishing House: London, United Kingdom : : IntechOpen,, 2019.
• Year of Publication: 2019
• Language: English
• Physical Description: 1 online resource (206 pages) :; illustrations some color
• Bibliography: Includes bibliographical references.
• ISBN: 1789851424; 1789851580
• Hierarchical level: Monograph
• Statement of Responsibility: edited by Pier Luigi Mazzeo, Srinivasan Ramakrishnan, and Paolo Spagnolo.

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.