Now showing items 1-10 of 21
Deep low-resolution person re-identification
Copyright © 2018, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. Person images captured by public surveillance cameras often have low resolutions (LR) in addition to ...
Person re-identification by deep joint learning of multi-loss classification
Existing person re-identification (re-id) methods rely mostly on either localised or global feature representation alone. This ignores their joint benefit and mutual complementary effects. In this work, we show the advantages ...
Person Search by Multi-Scale Matching
© 2018, Springer Nature Switzerland AG. We consider the problem of person search in unconstrained scene images. Existing methods usually focus on improving the person detection accuracy to mitigate negative effects imposed ...
Unsupervised Person Re-identification by Deep Learning Tracklet Association
© 2018, Springer Nature Switzerland AG. Most existing person re-identification (re-id) methods rely on supervised model learning on per-camera-pair manually labelled pairwise training data. This leads to poor scalability ...