A Method of Detecting an Object Using the Latest Technology

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].

Country : Sultanate of Oman

1 Dr. Ramesh Palanisamy2 Mr. Mohamed Osman Akarma Al-Tigani Mohamed3 Dr. Mathivanan Viruthachalam4 Dr. Kumar Kaliyamoorthy5 Senthil Jayapal

  1. Department of Information Technology, University of Technology and Applied Sciences – Ibra, Sultanate of Oman
  2. Department of Information Technology, University of Technology and Applied Sciences – Ibra, Sultanate of Oman
  3. Department of Information Technology, University of Technology and Applied Sciences – Ibra, Sultanate of Oman
  4. Department of Information Technology, University of Technology and Applied Sciences – Ibra, Sultanate of Oman
  5. Department of Information Technology, University of Technology and Applied Sciences – Ibra, Sultanate of Oman

IRJIET, Volume 7, Issue 12, December 2023 pp. 171-176

doi.org/10.47001/IRJIET/2023.712024

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