TY  - CHAP
AU  - Nuzrul Fahmi Nordin
AU  - Samsul Setumin
AU  - Abduljalil Radman
AU  - Shahrel Azmin Suandi
ED  - Pier Luigi Mazzeo
ED  - Srinivasan Ramakrishnan
ED  - Paolo Spagnolo
Y1  - 2019-06-17
PY  - 2019
T1  - Extended Binary Gradient Pattern (eBGP): A Micro- and Macrostructure-Based Binary Gradient Pattern for Face Recognition in Video Surveillance Area
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. 7
UR  - https://doi.org/10.5772/intechopen.86473
DO  - 10.5772/intechopen.86473
SN  - 978-1-78985-158-8
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-18
ER  -