Explore
Visual Object Tracking with Deep Neural Networks
0 Ungluers have
Faved this Work
Login to Fave
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.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 21 times via unglue.it ebook links.
- 21 - pdf (CC BY) at mts.intechopen.com.
Keywords
- artificial intelligence
- Computer science
- Computing & information technology
- Neural networks & fuzzy systems
Links
DOI: 10.5772/intechopen.80142Editions