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- Title
Machine Learning based Vehicle Counting and Detection System.
- Authors
T., Jayamalar; N., Krishnaveni
- Abstract
The study of how machines perceive instead of humans is known as vehicle detection or computer of a vehicle detection system is to identify one or multiple vehicles within the input images and live video feed. The dataset is used to train image processing algorithms for tasks like detection and tracking. To pinpoint the defects and strength of each image processing system, assessment criteria are used to develop, train, test, and compare them. To recognize, track, and count the vehicle in images and videos, the image processing algorithms such as CNN YOLOv3 and SVM are implemented. The main goal and intention of this work is to develop a system that can intelligently identify and track automobiles in still images and moving movies. The results demonstrated that CNN-based YOLOv3 does a good job of detecting and tracking vehicles.
- Subjects
EDGE detection (Image processing); MACHINE learning; HISTOGRAMS; DRONE aircraft; STANDARD deviations
- Publication
Mapana Journal of Sciences, 2023, Vol 22, p243
- ISSN
0975-3303
- Publication type
Article
- DOI
10.12723/mjs.sp2.13