International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

A Method of Detecting an Object Using the Latest Technology

Dr. Ramesh PalanisamyDepartment of Information Technology, University of Technology and Applied Sciences – Ibra, Sultanate of OmanMr. Mohamed Osman Akarma Al-Tigani MohamedDepartment of Information Technology, University of Technology and Applied Sciences – Ibra, Sultanate of OmanDr. Mathivanan ViruthachalamDepartment of Information Technology, University of Technology and Applied Sciences – Ibra, Sultanate of OmanDr. Kumar KaliyamoorthyDepartment of Information Technology, University of Technology and Applied Sciences – Ibra, Sultanate of OmanSenthil JayapalDepartment of Information Technology, University of Technology and Applied Sciences – Ibra, Sultanate of Oman

Vol 7 No 12 (2023): Volume 7, Issue 12, December 2023 | Pages: 171-176

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 26-12-2023

doi Logo doi.org/10.47001/IRJIET/2023.712024

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Abstract

Multiple object detection and tracking are the essential components required by a variety of intelligent applications. Object detection identifies the location of the object in a scene whereas object tracking associates the detected object over a sequence of frames. A variety of techniques has been developed in the past few decades, which can be broadly classified into 2D and stereo based 3D techniques. Majority of these techniques produce reliable results under specific assumptions in constrained scenarios [1]. These constraining assumptions are introduced to reduce the number of complicating factors, which are inherent in object detection and tracking. The most common assumptions are about environmental conditions, object appearance, flow density, background color intensity information, duration of time for which an object exists in the scene, objects occlusion, limitation regarding number of objects within the scene, etc. The reliability of these techniques is not guaranteed in real- time applications. The robust object detection and tracking in an unconstrained environment is the key requirement of state-of-the-art surveillance system [2].

Keywords

Object Detection, Tracking, Location, Kalman Filter


Citation of this Article

Dr. Ramesh Palanisamy, Mr. Mohamed Osman Akarma Al-Tigani Mohamed, Dr. Mathivanan Viruthachalam, Dr. Kumar Kaliyamoorthy, Senthil Jayapal, “A Method of Detecting an Object Using the Latest Technology” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 12, pp 171-176, December 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.712024

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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