TY  - CHAP
AU  - Gulraiz Khan
AU  - Zeeshan Tariq
AU  - Muhammad Usman Ghani Khan
ED  - Pier Luigi Mazzeo
ED  - Srinivasan Ramakrishnan
ED  - Paolo Spagnolo
Y1  - 2019-05-20
PY  - 2019
T1  - Multi-Person Tracking Based on Faster R-CNN and Deep Appearance Features
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. 2
UR  - https://doi.org/10.5772/intechopen.85215
DO  - 10.5772/intechopen.85215
SN  - 978-1-78985-158-8
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-05-11
ER  -