Unsupervised data association for metric learning in the context of multi-shot person re-identification

@article{Khan2016UnsupervisedDA,
  title={Unsupervised data association for metric learning in the context of multi-shot person re-identification},
  author={Furqan Muhammad Khan and François Br{\'e}mond},
  journal={2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)},
  year={2016},
  pages={256-262}
}
Appearance based person re-identification is a challenging task, specially due to difficulty in capturing high intra-person appearance variance across cameras when inter-person similarity is also high. Metric learning is often used to address deficiency of low-level features by learning view specific re-identification models. The models are often acquired using a supervised algorithm. This is not practical for real-world surveillance systems because annotation effort is view dependent. In this… CONTINUE READING

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