An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes

@article{Miah2021AnEA,
  title={An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes},
  author={Mehdi Miah and J. Pepin and Nicolas Saunier and Guillaume-Alexandre Bilodeau},
  journal={2020 25th International Conference on Pattern Recognition (ICPR)},
  year={2021},
  pages={5595-5602}
}
This paper addresses the problem of selecting appearance features for multiple object tracking (MOT) in urban scenes. Over the years, a large number of features has been used for MOT. However, it is not clear whether some of them are better than others. Commonly used features are color histograms, histograms of oriented gradients, deep features from convolutional neural networks and re-identification (ReID) features. In this study, we assess how good these features are at discriminating objects… Expand

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