Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)

Software for Detection of Objects while Video Sequences Handling

Authors
Iakov Korovin, Maxim Khisamutdinov, Donat Ivanov
Corresponding Author
Donat Ivanov
Available Online December 2019.
DOI
10.2991/mmsta-19.2019.41How to use a DOI?
Keywords
detection; blobs detector; image stabilization; optical flow; software
Abstract

In this paper we describe a software implementation of computer vision methods for highlighting contrasting objects in noisy images. A user-friendly graphical interface is developed. The software program is intended for reading video sequences files, their processing in order to seek and recognize objects, present in a frame. After data handling the discovered objects’ characteristics are stored in XML format files.

Copyright
© 2019, 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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Volume Title
Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)
Series
Advances in Computer Science Research
Publication Date
December 2019
ISBN
978-94-6252-856-7
ISSN
2352-538X
DOI
10.2991/mmsta-19.2019.41How to use a DOI?
Copyright
© 2019, 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  - Iakov Korovin
AU  - Maxim Khisamutdinov
AU  - Donat Ivanov
PY  - 2019/12
DA  - 2019/12
TI  - Software for Detection of Objects while Video Sequences Handling
BT  - Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)
PB  - Atlantis Press
SP  - 191
EP  - 194
SN  - 2352-538X
UR  - https://doi.org/10.2991/mmsta-19.2019.41
DO  - 10.2991/mmsta-19.2019.41
ID  - Korovin2019/12
ER  -