International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
Mar. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 132
Paper Published : 1707
No. of Authors : 4723
  Journal Paper


Paper Title :
Vehicle Detection Using Centroid Tracker Algorithm

Author :T.R Saravanan, Deepak Sundaram, Kaushik P.M

Article Citation :T.R Saravanan ,Deepak Sundaram ,Kaushik P.M , (2023 ) " Vehicle Detection Using Centroid Tracker Algorithm " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 1-6, Volume-11,Issue-6

Abstract : As it is necessary for many applications, including traffic monitoring, autonomous driving, and surveillance systems, vehicle detection is a crucial task in the field of computer vision and machine learning. The Centroid Tracker Algorithm has been a well-liked and successful method for real-time vehicle detection and tracking in recent years. This approach locates and tracks automobiles based on their centroids by combining object identification and tracking methods. By identifying changes in a vehicle's position over time, the system can identify and track it. This abstract intends to give an overview of the machine learning-based Centroid Tracker Algorithm-based vehicle identification system by presenting its architecture, essential elements, and performance metrics. The system can accurately and efficiently detect and track multiple vehicles simultaneously, making it a useful tool in various applications.

Type : Research paper

Published : Volume-11,Issue-6


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