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Constrained Deep Metric Learning for Person Re-identification
[article]
2015
arXiv
pre-print
Person re-identification aims to re-identify the probe image from a given set of images under different camera views. It is challenging due to large variations of pose, illumination, occlusion and camera view. Since the convolutional neural networks (CNN) have excellent capability of feature extraction, certain deep learning methods have been recently applied in person re-identification. However, in person re-identification, the deep networks often suffer from the over-fitting problem. In this
arXiv:1511.07545v1
fatcat:4xfcilg36bh67j5n44k3etgq6m