Name
Abstract | ||
|---|---|---|
This paper presents a subject centric group feature for person re-identification. Our approach is inspired by the observation that people often tend to walk alongside others or in a group. We argue that co-travelers' information, including geometry and visual cues, can reduce the re-identification ambiguity and lead to better accuracy, compared to approaches that rely only on visual cues. We introduce person-group feature to capture both geometry and visual information of co-travelers around a subject. We compute the dis-similarity between person-group features by solving an integer programming problem. The proposed approach is evaluated in its ability to improve the accuracy of re-identification of people traveling within groups. The results show that our approach outperforms state-of-the-art visual based as well as group information based methods. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/CVPRW.2015.7301280 | 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) |
Keywords | Field | DocType |
subject centric group feature,person reidentification,person-group feature,integer programming problem | Sensory cue,Computer vision,Visualization,Computer science,Feature (computer vision),Feature extraction,Integer programming,Artificial intelligence,Ambiguity,Machine learning,Trajectory | Conference |
Volume | Issue | ISSN |
2015 | 1 | 2160-7508 |
Citations | PageRank | References |
1 | 0.36 | 15 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Li Wei | 1 | 1 | 0.36 |
| Shishir K Shah | 2 | 501 | 40.08 |