The matching points methods for solving the problem of the tracking objects

DOI

10.2991/itsmssm-17.2017.47How to use a DOI?

Keywords

computer vision, detection, key point, descriptor, image, tracking.

Abstract

This article interprets a concept of key points and its descriptors, object tracking and key points matching goals. The concept of object detection and detection classification methods are described. Key points matching methods based on standard OpenCV functions and matching machine learning methods are described. Comparative analysis of these methods working is represented by following parameters: standard deviation, maximum axis deviation, average operating time and execution accuracy.

Copyright

© 2017, 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)

TY  - CONF
AU  - Polina Kovalenko
AU  - Andrey Mikhaylov
AU  - Alexander Kataev
AU  - Vladimir Rozaliev
AU  - Yulia Orlova
PY  - 2017/12
DA  - 2017/12
TI  - The matching points methods for solving the problem of the tracking objects
BT  - Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)
PB  - Atlantis Press
SP  - 223
EP  - 226
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-17.2017.47
DO  - 10.2991/itsmssm-17.2017.47
ID  - Kovalenko2017/12
ER  -