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Olesia A. Kushnir
Ph.D. Tula State
University |
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Citizenship: The Russian Federation |
Ph.D. Degree in Engineering and Technologies,
Tula State University, Institute of
Applied Mathematics and Computer Science
Ph.D. Thesis:
Methods and
Algorithms for Binary Images Matching Based on Skeletonization
M.S.
Degree in Engineering and Technologies,
Tula State University, Institute of
Applied Mathematics and Computer Science
M.S. Thesis:
The Pair-wise Comparison Function of Binary Images Based on Skeletonization
Teaching
Assistant, then Assistant Professor
Laboratory of Data
Analysis (http://lda.tsu.tula.ru/)
Tula State University, Department of
Cybernetics (from 2014 Institute of Applied Mathematics and Computer Science)
Lecture
Courses:
Fundamentals of Programming (Delphi)
Fundamentals of Computer Vision
Ph.D.
Student,
Tula State University, Institute of Applied Mathematics and Computer Science
Student
in International
Computer Vision Summer School (ICVSS
2014, 2016), Sicily,
Italy
Internship
in National Taipei University of
Technology, Taipei, Taiwan
Internship
in Institute of Computer Vision and applied
Computer Sciences
(Institut für Bildverarbeitung und angewandte Informatik (IBaI)), Leipzig,
Germany
Research
Assistant,
Laboratory of Data
Analysis (http://lda.tsu.tula.ru/)
Tula State University, Department of
Cybernetics (from 2014 Institute of Applied Mathematics and Computer Science)
M.S.
Student,
Tula State University, Department of Cybernetics
Scholarship
of the President of the Russian Federation in 2013–2014
Grants
of the Russian Foundation for Basic
Research:
“Methods
and algorithms for constructing mathematically correct comparison functions of
binary images based on skeletons” (
“Methods
and algorithms of high-performance intellectual dependency estimation in big data
sets” (
Grant
of the Russian Foundation for Basic
Research:
“Emergency Event Detection and Recognition in Video
Monitoring of Elderly Individuals for a Wireless Alert System” (
Grant
of the Russian Foundation for Basic
Research:
“Metric methods of featureless dependency
estimation for intellectual analysis of signals and symbolic sequences of
different lengths” (
Grant
of the Russian Foundation for Basic
Research:
“Methods of detectors combining in tasks of
signal and image analysis” (
Grant
of the Russian Foundation for Basic
Research:
“Methods and algorithms of featureless analysis
of binary images skeletons” (Tula State University, Principal Investigator O. Kushnir)
Grant
of the Russian Foundation for Basic Research:
“Enhanced Traffic Flow Video Analysis design of
Transport Monitoring Systems” (
7th
International Conference on Pattern Recognition Applications and Methods
(ICPRAM 2018)
(Madeira, Portugal, 2018)
2nd
International ISPRS Workshop “Photogrammetric and computer vision techniques
for video surveillance, biometrics and biomedicine” (PSBB 2017)
(Moscow, Russia, 2017)
3-th
International Conference on Information Technology and Nanotechnology
(ITNT-2017)
(Samara, Russia, 2017)
4-th
International Conference on Analysis of Images, Social Networks, and Texts 2015
(AIST 2015)
(Yekaterinburg, Russia, 2015)
(Cherbourg, Normandy, France, 2014)
(Moscow, Russia, 2013, 2014)
16-th
and 17-th Conference on Mathematical Methods in Pattern Recognition
(Kazan, Russia, 2013; Svetlogorsk, Kaliningrad region, Russia, 2015)
International
Federation of Classification Societies Conference – IFCS 2013
(Tilburg, the Netherlands, 2013)
9, 10
and 11-th International Conference on Intelligent Information Processing
(Budva, Montenegro, 2012; Crete, Greece, 2014;
Barcelona, Spain, 2016)
About 30 publications
S. Fedotova,
O. Kushnir, and O. Seredin,
Comparison of Binary Images based on Jaccard Measure
using Symmetry Information, in Proceedings of the 15th International Joint
Conference on Computer Vision, Imaging and Computer Graphics Theory and
Applications (VISIGRAPP 2020), 2020, vol. 4, pp. 398–404. https://www.scitepress.org/Link.aspx?doi=10.5220/0008989803980404
Kushnir O. A., Seredin O. S., Fedotova
S. A. Algorithms for Adjustment of Symmetry Axis Found for 2d Shapes by the
Skeleton Comparison Method //International Archives of the Photogrammetry,
Remote Sensing and Spatial Information Sciences. – 2019. – Vol. 42. – No.
2/W12, pp. 129–136. DOI: 10.5194/isprs-archives-XLII-2-W12-129-2019 https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W12/129/2019/
Kopylov, A., Seredin, O., Kushnir,
O., Gracheva, I. and Larin,
A. Background-Invariant Robust Hand Detection Based on Probabilistic One-Class
Color Segmentation and Skeleton Matching // Proceedings of the 7th
International Conference on Pattern Recognition Applications and Methods
(ICPRAM 2018), pp. 503-510 (2018) ISBN: 978-989-758-276-9
doi:10.5220/0006649805030510 http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006649805030510
S. Fedotova,
O. Seredin, and O. Kushnir.
The Parallel Implementation of Algorithms for Finding the Reflection Symmetry
of the Binary Images // Int. Arch. Photogramm. Remote
Sens. Spatial Inf. Sci., XLII-2-W4, pp. 179-184 (2017) doi:10.5194/isprs-archives-XLII-2-W4-179-2017 https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W4/179/2017/
Kushnir O., Fedotova S., Seredin
O., Karkishchenko A. Reflection Symmetry of Shapes
Based on Skeleton Primitive Chains // Fifth International Conference, AIST
2016, Yekaterinburg, Russia, April 7–9, 2016, Revised Selected Papers, CCIS,
Vol. 661, pp. 293–304, Springer International Publishing Switzerland (2017).
Kushnir
O., Seredin O. Shape Matching Based on Skeletonization and Alignment of Primitive
Chains // M.Yu. Khachay et al. (Eds.): AIST 2015, Communications in Computer and Information Science, Vol. 542, pp. 123–136. Springer International Publishing (2015)
Kushnir O., Seredin O. Parametric Description of
Skeleton Radial Function by Legendre Polynomials for Binary Images Comparison
// A. Elmoataz et al. (Eds.): ICISP 2014, LNCS 8509, pp. 520–530. Springer
International Publishing Switzerland (2014)