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 Tracking method AerialMPTNet that fuses appearance,
temporal, and graphical information using a Siamese Neural Network, a Long Short-Term
Memory, and a Graph Convolutional Neural Network module for more accurate and stable …
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 Tracking method AerialMPTNet that fuses appearance,
temporal, and graphical information using a Siamese Neural Network, a Long Short-Term
Memory, and a Graph Convolutional Neural Network module for more accurate and stable …
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