Re-ranking person re-identification with k-reciprocal encoding
When considering person re-identification (re-ID) as a retrieval process, re-ranking is a
critical step to improve its accuracy. Yet in the re-ID community, limited effort has been …
critical step to improve its accuracy. Yet in the re-ID community, limited effort has been …
Unsupervised cross-dataset person re-identification by transfer learning of spatial-temporal patterns
Most of the proposed person re-identification algorithms conduct supervised training and
testing on single labeled datasets with small size, so directly deploying these trained models …
testing on single labeled datasets with small size, so directly deploying these trained models …
Temporal model adaptation for person re-identification
Person re-identification is an open and challenging problem in computer vision. Majority of
the efforts have been spent either to design the best feature representation or to learn the …
the efforts have been spent either to design the best feature representation or to learn the …
Person reidentification via discrepancy matrix and matrix metric
Person reidentification (re-id), as an important task in video surveillance and forensics
applications, has been widely studied. Previous research efforts toward solving the person …
applications, has been widely studied. Previous research efforts toward solving the person …
Discriminant context information analysis for post-ranking person re-identification
Existing approaches for person re-identification are mainly based on creating distinctive
representations or on learning optimal metrics. The achieved results are then provided in the …
representations or on learning optimal metrics. The achieved results are then provided in the …
Group re-identification via unsupervised transfer of sparse features encoding
Person re-identification is best known as the problem of associating a single person that is
observed from one or more disjoint cameras. The existing literature has mainly addressed …
observed from one or more disjoint cameras. The existing literature has mainly addressed …
Online inter-camera trajectory association exploiting person re-identification and camera topology
N Jiang, SC Bai, Y Xu, C ** camera views. Recently, metric learning-based methods have played …