Learning hierarchical representation using Siamese Convolution Neural Network for human re-identification
Human re-identification is to match a pair of humans appearing in different cameras with non-overlapping views. However, in order to achieve this task, we need to overcome several challenges such as variations in lighting, viewpoint, pose and colour. In this paper, we propose a new approach for pers...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2016
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/73463/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964817632&doi=10.1109%2fICDIM.2015.7381875&partnerID=40&md5=6571936f40c48b02b047f16f616982cf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|