QMUL underGround person Re-IDentification (GRID) Dataset

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The QMUL underGround person Re-IDentification (GRID) dataset contains 250 pedestrian image pairs. Each pair contains two images of the same individual seen from different camera views. Besides, there are a total of 775 additional individual images that do not belong to any of the paired images. All images are captured from 8 disjoint camera views installed in a busy underground station. The dataset is challenging due to variations of pose, colours, lighting changes; as well as poor image quality caused by low spatial resolution. Please check this page (http://www.eecs.qmul.ac.uk/~ccloy/downloads_qmul_underground_reid.html) for details.

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Person Re-identification | Visual Surveillance |

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Added	24 Jan 2013
Updated	28 Jan 2013
Authors	Chen Change Loy

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QMUL underGround person Re-IDentification (GRID) Dataset

Person Re-identification | Visual Surveillance |

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