Deep Neural Networks with Inexact Matching for Person Re-Identification

@inproceedings{Subramaniam2016DeepNN,
  title={Deep Neural Networks with Inexact Matching for Person Re-Identification},
  author={Arulkumar Subramaniam and Moitreya Chatterjee and Anurag Mittal},
  booktitle={NIPS},
  year={2016}
}
Person Re-Identification is the task of matching images of a person across multiple camera views. Almost all prior approaches address this challenge by attempting to learn the possible transformations that relate the different views of a person from a training corpora. Then, they utilize these transformation patterns for matching a query image to those in a gallery image bank at test time. This necessitates learning good feature representations of the images and having a robust feature matching… CONTINUE READING
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