An improved deep learning architecture for person re-identification

@article{Ahmed2015AnID,
  title={An improved deep learning architecture for person re-identification},
  author={Ejaz Ahmed and Michael J. Jones and Tim K. Marks},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2015},
  pages={3908-3916}
}
In this work, we propose a method for simultaneously learning features and a corresponding similarity metric for person re-identification. We present a deep convolutional architecture with layers specially designed to address the problem of re-identification. Given a pair of images as input, our network outputs a similarity value indicating whether the two input images depict the same person. Novel elements of our architecture include a layer that computes cross-input neighborhood differences… CONTINUE READING
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