Name
Abstract | ||
|---|---|---|
Person re-identification is essentially the task of recognizing the same person across different non-overlapping cameras. It has been intensively studied due to its critical role for many security applications of video surveillance. In this paper we exploit the low-level color information in two different aspects, showing the strength provided by colors to increase the accuracy of classification. First, we propose a discriminant embedding for the feature descriptor, which takes into consideration all color components at one time using the quaternions. Second, we propose to assign each individual to a color name in order to increase the discrimination of our descriptor with a semantic analysis. Experiments are carried out on the highly challenging VIPeR dataset. Comparison with some state-of-the-art methods is provided and the proposed method shows better performance even with a simple metric learning method. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1049/ic.2016.0089 | 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016) |
Keywords | DocType | ISBN |
Person re-identification,Discriminant Embedding,Semantic analysis,Quaternion Local Binary Pattern | Conference | 978-1-78561-400-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| C. Chahla | 1 | 2 | 1.40 |
| Hichem Snoussi | 2 | 509 | 62.19 |
| Fadi Abdallah | 3 | 0 | 0.34 |
| Fadi Dornaika | 4 | 809 | 96.43 |