VEHICLE DETECTION AND TRACKING USING MACHINE LEARNING TECHNIQUES AS SUPPORT VECTOR MACHINE
DOI:
https://doi.org/10.59367/zywpck72Keywords:
Vehicle detection, Vehicle Tracking, SVM, Decision Tree, Image detectionAbstract
Machine learning can be used to detect and classify objects in images and videos. Vehicle detection, is basically the scientific methods and ways of how machines see rather than human eyes. Vehicle detection is one of the widely used features by companies and organizations these days. We can use computer vision to detect different types of vehicles in a video or real-time via a camera. Vehicle detection and tracking finds its applications in traffic control, car tracking, creating parking sensors and many more. Python programming language is very user friendly language that have been utilized as the development language for the creation. The Support VectorMachine (SVM) and Decision tree are the two algorithms have been developed, trained, tested, and compared to each other, although suggest the best model among these two.
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