Software Pipeline for Vehicle Detection and Tracking using CNN
| Autor: | Milind M Manoj, H. Mallika, Abhijith Krishnan, Mohammed Hazique Kola, Gangamma P B Riya |
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| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
Radar tracker Point (typography) Contextual image classification business.industry Computer science 05 social sciences Real-time computing Tracking (particle physics) Convolutional neural network Pipeline (software) Software 0502 economics and business business Intelligent transportation system |
| Zdroj: | 2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C). |
| DOI: | 10.1109/cimca.2018.8739754 |
| Popis: | With the emergence of Self-Driving Cars and Intelligent Transport Systems, Vehicle detection and Tracking is highly essential for various civilian and military applications. Convolutional Neural Networks (CNN) have become the gold standard for image classification and have improved to the point where they could outperform humans in this regard. Therefore, they could provide a solution to many contemporary problems involving vehicle detection and tracking.This project involves training a CNN with a dataset of labeled vehicles and use this trained model to perform vehicle detection and tracking whose performance is tested and evaluated. |
| Databáze: | OpenAIRE |
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