• Volodymyr Kharchenko National Aviation University
  • Alexander Kukush Taras Shevchenko National University of Kyiv
  • Nataliia Kuzmenko National Aviation University
  • Ivan Ostroumov National Aviation University



Bayesian approach, BLOB, probability density function, object detection, recognition, video stream


Purpose: The represented research results are aimed to improve theoretical basics of computer vision and artificial intelligence of dynamical system. Proposed approach of object detection and recognition is based on probabilistic fundamentals to ensure the required level of correct object recognition. Methods: Presented approach is grounded at probabilistic methods, statistical methods of probability density estimation and computer-based simulation at verification stage of development. Results: Proposed approach for object detection and recognition for video stream data processing 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 look plausible for object detection and recognition in video stream. Discussion: The approach can be implemented in dynamical system within changeable environment such as remotely piloted aircraft systems and can be a part of artificial intelligence in navigation and control systems.

Author Biographies

Volodymyr Kharchenko, National Aviation University

Kharchenko Volodymyr. Doctor of Engineering. 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 СNS/АТМ systems.

Alexander Kukush, Taras Shevchenko National University of Kyiv

Kukush Aleksander (1957). 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.

Nataliia Kuzmenko, National Aviation University

Kuzmenko Nataliia(1990). Candidate of Engineering. Junior researcher. National Aviation University.

Education: National Aviation University, Kyiv, Ukraine (2013).

Research area: navigation and control of dynamic systems, artificial intelligence.

Ivan Ostroumov, National Aviation University

Ostroumov Ivan(1983). Candidate of Engineering. Associate Professor.

National Aviation University.

Education: National Aviation University, Kyiv, Ukraine (2005).

Research area: Navigation, Alternative Position, Navigation and Timing.


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How to Cite

Kharchenko, V., Kukush, A., Kuzmenko, N., & Ostroumov, I. (2017). PROBABILISTIC APPROACH TO OBJECT DETECTION AND RECOGNITION FOR VIDEOSTREAM PROCESSING. Proceedings of National Aviation University, 71(2), 8–14.




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