Oleksii Maksymiv

Work place: Lviv State University of Life Safety, Lviv, Ukraine

E-mail: aleks.maksymiv@gmail.com


Research Interests: Computer systems and computational processes, Computer Vision, Systems Architecture, Image Manipulation, Image Processing


Oleksii Maksymiv was born in Drohobych, Ukraine (1992), now he lives in Lviv, Ukraine. He obtained B.Sc. (2013) in fire safety and M.Sc. (2014) in project management. Currently, he is a Ph.D. student in computer science at the Lviv State University of Life Safety. His research interests focus on the computer vision, intelligent systems, image analysis and processing.

Author Articles
Video-based Flame Detection using LBP-based Descriptor: Influences of Classifiers Variety on Detection Efficiency

By Oleksii Maksymiv Taras Rak Dmytro Peleshko

DOI: https://doi.org/10.5815/ijisa.2017.02.06, Pub. Date: 8 Feb. 2017

Techniques to detect the flame at an early stage are necessary in order to prevent the fire and minimize the damage. The flame detection technique based on the physical sensor has limited disadvantages in detecting the fire early. This paper presents the results of using local binary patterns for solving flames detecting problem and proposes modifications to improve the quality of detector work. Experimentally found that using support vector machines classifier with a kernel based on Gaussian radial basis functions shows the best results compared to other SVM cores or classifier k-nearest neighbors.

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