Image Retrieval Methods for Object Detection and Background Elimination

A. Gayathri, Madhavi Devi, Gnanendra Prasad, B. Dinesh

2025

Abstract

Effective object tracking and identification are critical in numerous applications, including traffic surveillance, airport operations, and other environments requiring continuous monitoring. Traditional object detection methods rely on background subtraction, where statistical representations of backgrounds are used to identify moving objects in the foreground. However, the increasing demand for real-time processing and the large storage needs of video data necessitate the use of more efficient and accurate models. In this work, we present an advanced object detection and background elimination system leveraging YOLOv8 and Deep Neural Networks (DNN) to improve both speed and accuracy in dynamic environments. By integrating YOLOv8’s real-time object detection capabilities with robust DNN techniques, our approach addresses common challenges such as illumination changes, weather conditions, camera jitter and Low Light. The proposed system optimizes storage and processing requirements while maintaining high detection accuracy, making it suitable for real-world monitoring applications. Experimental results demonstrate the system’s effectiveness in challenging scenarios, highlighting its potential for scalable and efficient object tracking solutions.

Paper Citation

in Harvard Style

Gayathri A., Devi M., Prasad G. and Dinesh B. (2025). Image Retrieval Methods for Object Detection and Background Elimination. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 274-284. DOI: 10.5220/0013896700004919

in Bibtex Style

@conference{icrdicct`2525,
author={A. Gayathri and Madhavi Devi and Gnanendra Prasad and B. Dinesh},
title={Image Retrieval Methods for Object Detection and Background Elimination},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={274-284},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013896700004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Image Retrieval Methods for Object Detection and Background Elimination
SN - 978-989-758-777-1
AU - Gayathri A.
AU - Devi M.
AU - Prasad G.
AU - Dinesh B.
PY - 2025
SP - 274
EP - 284
DO - 10.5220/0013896700004919
PB - SciTePress