Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

A Review of Visual tracking Technology based on Infrared Image

Authors
Shijie Ren, Xiaogang Yang, Naixin Qi
Corresponding Author
Shijie Ren
Available Online May 2018.
DOI
10.2991/ncce-18.2018.30How to use a DOI?
Keywords
Computer Vision, Visual Tracking, Infrared Image
Abstract

Visual tracking is a hot topic in the field of computer vision, this paper firstly describes the classification and application of visual tracking, and highlights the advantages of object tracking based on infrared image by simple comparison. Combined with the research of this technology, tracking technology is divided into five categories, which are named region-based tracking, model-based tracking, activity-based tracking, feature-based tracking, and filtering-based tracking respectively. Finally, based on the characteristics of infrared images, this paper expounds the difficulties in the visual tracking of infrared images and prospects the research prospect of infrared image visual tracking.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
Series
Advances in Intelligent Systems Research
Publication Date
May 2018
ISBN
10.2991/ncce-18.2018.30
ISSN
1951-6851
DOI
10.2991/ncce-18.2018.30How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shijie Ren
AU  - Xiaogang Yang
AU  - Naixin Qi
PY  - 2018/05
DA  - 2018/05
TI  - A Review of Visual tracking Technology based on Infrared Image
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 175
EP  - 181
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.30
DO  - 10.2991/ncce-18.2018.30
ID  - Ren2018/05
ER  -