Multiple Pedestrians and Vehicles Tracking in Aerial Imagery Using a Convolutional Neural Network

Multiple Pedestrians and Vehicles Tracking in Aerial Imagery Using a Convolutional Neural Network

In this paper, we address various challenges in multi-pedestrian and vehicle tracking in high-resolution aerial imagery by intensive evaluation of a number of traditional and Deep Learning based Single- and Multi-Object Tracking methods. We also describe our proposed Deep Learning based Multi-Object...

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Bibliographic Details
Main Authors:	Seyed Majid Azimi, Maximilian Kraus, Reza Bahmanyar, Peter Reinartz
Format:	Article
Language:	English
Published:	MDPI AG 2021-05-01
Series:	Remote Sensing
Subjects:	aerial imagery deep neural networks GraphCNN recurrent neural networks multi-object tracking
Online Access:	https://www.mdpi.com/2072-4292/13/10/1953

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