Analysis of visual object tracking algorithms for real-time systems

Mykola Moroz

Faculty of Information Technology, Taras Shevchenko National University of Kyiv, Ukraine

orcid.org/0000-0001-6953-683X

Denys Berestov

Faculty of Information Technology, Taras Shevchenko National University of Kyiv, Ukraine

orcid.org/0000-0002-3918-2978

Oleg Kurchenko

Faculty of Information Technology, Taras Shevchenko National University of Kyiv, Ukraine

orcid.org/0000-0002-3507-2392

Abstract

DOI: https://doi.org/10.17721/AIT.2021.1.08

The article analyzes the latest achievements and decisions in the process of visual support of the target object in the field of computer vision, considers approaches to the choice of algorithm for visual support of objects on video sequences, highlights the main visual features that can be based on tracking object. The criteria that influence the choice of the target object-tracking algorithm in real time are defined. However, for real-time tracking with limited computing resources, the choice of the appropriate algorithm is crucial. The choice of visual tracking algorithm is also influenced by the requirements and limitations for the monitored objects and prior knowledge or assumptions about them. As a result of the analysis, the Staple tracking algorithm was preferred, according to the criterion of speed, which is a crucial indicator in the design and development of software and hardware for automated visual support of the object in real-time video stream for various surveillance and security systems, monitoring traffic, activity recognition and other embedded systems.

Keywords – video stream, tracker, algorithm, object, embedded system, real-time system.

Information about the author

Mykola Moroz. 4th-year student of the Department of Software Systems and Technologies, Faculty of Information Technology, Taras Shevchenko National University of Kyiv, Ukraine. Research interests: Internet of Things, Embedded Systems.

Denys Berestov. Assistant of the Department of Software Systems and Technologies, Faculty of Information Technology, Taras Shevchenko National University of Kyiv, Ukraine. Research interests: methods and tools of Data Science, Industrial Internet of Things, Embedded Systems.

Oleg Kurchenko. Associate Professor of the Department of Software Systems and Technologies, Faculty of Information Technology, Taras Shevchenko National University of Kyiv, Ukraine. Research interests: Software Engineering, Virtualization Technologies, Artificial Intelligence.

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