Object Detection in Video by Detecting Vehicles Using Machine Learning and Deep Learning Approaches
2021 International Conference on Forthcoming Networks and Sustainability in AIoT Era, FoNeS-AIoT 2021, Nicosia, Turkey, 27 - 28 December 2021, pp.62-65, (Full Text)
- Publication Type: Conference Paper / Full Text
- Doi Number: 10.1109/fones-aiot54873.2021.00023
- City: Nicosia
- Country: Turkey
- Page Numbers: pp.62-65
- Keywords: deep learning, machine learning, object detection, vehicle detection
- Yıldız Technical University Affiliated: Yes
Abstract
In recent, the field of object vehicles detection in video is very interested and had became applicable with methods of deep learning and machine learning. The main objective for these applications is to display the targeted object from the videos. This field still facing low detection accuracy problems. The paper goal is to develop an approach able to classify vehicles in videos by using HOG features, Linear SVM classifier as machine learning method and YOLOv3 (You Only Look Once, Version 3) algorithm as deep learning method. In the present work, we used the two famous public datasets for vehicles detection from videos, which are KITTI and GTI datasets. The result of this study addresses the problems of vehicle detection and improved the accuracy of the training.