TY - CHAP A1 - Viet-Hang Duong A2 - Manh-Quan Bui A3 - Jia-Ching Wang ED1 - Pier Luigi Mazzeo ED2 - Srinivasan Ramakrishnan ED3 - Paolo Spagnolo Y1 - 2019-12-18 PY - 2019 T1 - Matrix Factorization on Complex Domain for Face Recognition N2 - 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. BT - Visual Object Tracking with Deep Neural Networks SP - Ch. 8 UR - https://doi.org/10.5772/intechopen.85182 DO - 10.5772/intechopen.85182 SN - 978-1-78985-158-8 PB - IntechOpen CY - Rijeka Y2 - 2021-01-23 ER -