Luigi Mazzeo, Pier <br/><br/>
Visual Object Tracking with Deep Neural Networks 

 -  IntechOpen  2019 
 - 1 electronic resource (206 p.) 
<br/><br/> 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. 
<br/><br/><br/>Creative Commons 
<br/><br/><label>ISBN: </label>9781789851588 
<br/><br/><label>Standard No.: </label>10.5772/intechopen.80142 
<br/><br/><label>Subjects--Index Terms: </label>Neural networks & fuzzy systems