DOIONLINE 
DOIONLINE Publish In |
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC |
 Journal Home Volume Issue |
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Issue |
Volume-11,Issue-6 ( Jun, 2023 ) | |||||||||
Paper Title |
Vehicle Detection Using Centroid Tracker Algorithm | |||||||||
Author Name |
T.R Saravanan, Deepak Sundaram, Kaushik P.M | |||||||||
Affilition |
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Pages |
1-6 | |||||||||
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. | |||||||||
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