A Review of Visual Tracking with Deep Learning

DOI

10.2991/aiie-16.2016.54How to use a DOI?

Keywords

deep learning; object tracking; computer vision

Abstract

Visual tracking is an important research direction in the field of computer vision and has been widely used in military, medical and other fields. In recent years, the upsurge of deep learning in computer vision provides a new way for the realization of visual tracking with higher performance. This paper firstly introduces the concept and research status of visual tracking and deep learning, then focuses on the representative applications of deep learning in visual tracking, and finally summarizes the future development directions and prospects.

Copyright

© 2016, 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/).

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TY  - CONF
AU  - Xiaoyu Feng
AU  - Wei Mei
AU  - Dashuai Hu
PY  - 2016/11
DA  - 2016/11
TI  - A Review of Visual Tracking with Deep Learning
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 231
EP  - 234
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.54
DO  - 10.2991/aiie-16.2016.54
ID  - Feng2016/11
ER  -