Open access peer-reviewed Edited Volume

Visual Object Tracking with Deep Neural Networks

Edited by Pier Luigi Mazzeo

Institute of Applied Sciences and Intelligent Systems (CNR)


Srinivasan Ramakrishnan

Dr. Mahalingam College of Engineering and Technology

Paolo Spagnolo

Institute of Applied Sciences and Intelligent Systems (CNR)

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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Visual Object Tracking with Deep Neural NetworksEdited by Pier Luigi Mazzeo

Published: December 18th 2019

DOI: 10.5772/intechopen.80142

ISBN: 978-1-78985-158-8

Print ISBN: 978-1-78985-157-1

eBook (PDF) ISBN: 978-1-78985-142-7

Copyright year: 2019

Books open for chapter submissions

4768 Total Chapter Downloads

4 Crossref Citations

7 Dimensions Citations


Open access peer-reviewed

1. Deep Siamese Networks toward Robust Visual Tracking

By Mustansar Fiaz, Arif Mahmood and Soon Ki Jung


Open access peer-reviewed

2. Multi-Person Tracking Based on Faster R-CNN and Deep Appearance Features

By Gulraiz Khan, Zeeshan Tariq and Muhammad Usman Ghani Khan


Open access peer-reviewed

3. Detecting and Counting Small Animal Species Using Drone Imagery by Applying Deep Learning

By Ravi Sahu


Open access peer-reviewed

4. Deep-Facial Feature-Based Person Reidentification for Authentication in Surveillance Applications

By Yogameena Balasubramanian, Nagavani Chandrasekaran, Sangeetha Asokan and Saravana Sri Subramanian


Open access peer-reviewed

5. Object Re-Identification Based on Deep Learning

By Xiying Li and Zhihao Zhou


Open access peer-reviewed

6. Spatial Domain Representation for Face Recognition

By Toshanlal Meenpal, Aarti Goyal and Moumita Mukherjee


Open access peer-reviewed

7. Extended Binary Gradient Pattern (eBGP): A Micro- and Macrostructure-Based Binary Gradient Pattern for Face Recognition in Video Surveillance Area

By Nuzrul Fahmi Nordin, Samsul Setumin, Abduljalil Radman and Shahrel Azmin Suandi


Open access peer-reviewed

8. Matrix Factorization on Complex Domain for Face Recognition

By Viet-Hang Duong, Manh-Quan Bui and Jia-Ching Wang


Open access peer-reviewed

9. Granular Approach for Recognizing Surgically Altered Face Images Using Keypoint Descriptors and Artificial Neural Network

By Archana Harsing Sable and Haricharan A. Dhirbasi


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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