An unsupervised meta-graph clustering based prototype-specific feature quantification for human re-identification in video surveillance
Human re-identification is an emerging research area in the field of visual surveillance. It refers to the task of associating the images of the persons captured by one camera (probe set) with the images captured by another camera (gallery set) at different locations in different time instances. The...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2017-06-01
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| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098616312708 |