• Volodymyr Kharchenko National Aviation University
  • Alexander Kukush Taras Shevchenko National University of Kyiv
  • Iurii Chyrka National Aviation University



Bayesian approach, object detection, probability density function, recognition


Purpose: The represented research results are aimed to better understanding of computer vision methods and their capabilities. The statistical approach of object detection and recognition allows processing of typical objects with simple descriptors. Methods: Considered approach is grounded at probabilistic methods, kernel density estimation and computer-based simulation as a verification tool. Results: Considered approach for object detection and recognition has shown several advantages in comparison with existing methods due to its simple realization and small time of data processing. Presented results of experimental verification prove that the considered method can be applied for detection and classification of objects with various shapes. Discussion: The approach can be implemented in a variety of computer vision systems that observe objects in difficult noisy conditions.

Author Biographies

Volodymyr Kharchenko, National Aviation University

Doctor of Engineering Sciences. Professor.

Vice-Rector on Scientific Work of the National Aviation University, Kyiv, Ukraine.

Editor-in-Chief of the scientific journal Proceedings of the National Aviation University.

Winner of the State Prize of Ukraine in Science and Technology, Honorable Worker of Science and Technology of Ukraine.

Education: Kyiv Institute of Civil Aviation Engineers, Kyiv, Ukraine.

Research area: management of complex socio-technical systems, air navigation systems and automatic decision-making systems aimed at avoidance conflict situations, space information technology design, air navigation services in Ukraine provided by CNS/АТМ systems.

Alexander Kukush, Taras Shevchenko National University of Kyiv

Doctor of Physical and Mathematical Sciences. Professor.

Faculty of Mechanics and Mathematics, Taras Shevchenko National University of Kyiv. Education: Taras Shevchenko Kyiv State University, Kyiv, Ukraine (1979).

Research area: navigation and control of dynamical systems, mathematical and applied statistics, financial and actuarial mathematics.

Iurii Chyrka, National Aviation University

Candidate of Engineering Sciences. Senior researcher. National Aviation University.

Education: National Aviation University, Kyiv, Ukraine (2011).

Research area: control systems, radar signals processing, acoustic holography, and applied statistics.


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How to Cite

Kharchenko, V., Kukush, A., & Chyrka, I. (2017). SIMPLE OBJECTS DETECTION AND RECOGNITION BY THE PROBABILISTIC APPROACH. Proceedings of National Aviation University, 73(4), 24–29.




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