most citedGCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization

19 citations · 19 across the 1 of their papers we have counts for

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1 paper

cs.CV2020★ 19 cited

GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization

Ioannis Papakis, Abhijit Sarkar, Anuj Karpatne

This paper proposes a novel method for online Multi-Object Tracking (MOT) using Graph Convolutional Neural Network (GCNN) based feature extraction and end-to-end feature matching f…