AUTOMATIC OBJECTS RECOGNITION ALGORITHMS IN VIDEO DATA

Authors

  • Bakxtiyor Abdukadirov Department of Software Engineering Ferghana branch of the Tashkent University of Information Technologies named after Muhammad al-Khwarizmi https://orcid.org/0000-0002-1055-0503
  • Asadbek Muxtorov Toshkent axborot texnalogiyalar universiteti Farg'ona filiali

Keywords:

Object detection, YOLO, Faster R-CNN, SSD, artificial intelligence, deep learning, visual analytics

Abstract

This article provides an in-depth analysis of advanced algorithms for automatic object detection and classification in video imagery. The rapid advancements in artificial intelligence and deep learning have significantly enhanced the accuracy and efficiency of these processes. The study examines state-of-the-art algorithms such as YOLO, Faster R-CNN, and SSD, exploring their underlying principles, software frameworks, and practical applications across various domains. The article aims to offer a comprehensive understanding of modern approaches to object detection and their effective implementation.

Author Biography

Bakxtiyor Abdukadirov , Department of Software Engineering Ferghana branch of the Tashkent University of Information Technologies named after Muhammad al-Khwarizmi

Associate Professor of the

Department of Software Engineering

Ferghana branch of the Tashkent University of

Information Technologies

named after Muhammad al-Khwarizmi

References

Peiyuan Jiang, Daji Ergu, Fangyao Liu, Ying Cai, Bo Ma: A Review of Yolo Algorithm Developments. Procedia Computer Science Volume 199, 2022, Pp:1066-1073.

Rishabh Singh: Understanding and Implementing Faster R-CNN. Medium, October 15, 2024.

Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, Alexander C. Berg, “SSD: Single Shot MultiBox Detector”. Google Inc., University of Michigan.

Nosirov K., Norinov M., Abdukadirov B. Image filtering algorithm based on the analysis of the main components // International Conference on Information Science and Communications Technologies (ICISCT). – 2019. Pp. 1-3.

Norinov M., Abdukadirov B., Gofurov M. Application of Fourier Methods and Discrete-Cosinus Transformation in the Process of Processing of TV Images // International Journal of Innovative Technology and Exploring Engineering. – 2019. – Vol. 8, Issue 9S3. – Pp. 1565-1568.

Niyozmatova N., Mamatov N., Samijonov A., Abdukadirov B., Abdullayeva B. Algorithm for determining the coefficients of the interpolation polynomial of Newton with separated differences // IOP Conference Series: Materials Science and Engineering. – 2020. – Vol. 862, Issue 042019. – Pp. 1-4.

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Published

2025-03-23

How to Cite

Abdukadirov , B., & Muxtorov, A. (2025). AUTOMATIC OBJECTS RECOGNITION ALGORITHMS IN VIDEO DATA. The Descendants of Al-Fargani, 1(1), 112–117. Retrieved from http://al-fargoniy.uz/index.php/journal/article/view/788

Issue

No. 1 (2025):

Section

Статьи

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License

Copyright (c) 2025 Бахтиёр Абдукадиров, Asadbek Muxtorov

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.