Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Pattern Recognition |
| Untertitel | 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12-2018, Proceedings |
| Herausgeber/-innen | Thomas Brox, Andrés Bruhn, Mario Fritz |
| Erscheinungsort | Cham |
| Herausgeber (Verlag) | Springer Verlag |
| Seiten | 46-59 |
| Seitenumfang | 14 |
| Auflage | 1. |
| ISBN (elektronisch) | 9783030129392 |
| ISBN (Print) | 9783030129385 |
| Publikationsstatus | Veröffentlicht - 2019 |
| Veranstaltung | 40th German Conference on Pattern Recognition, GCPR 2018 - Stuttgart, Deutschland Dauer: 9 Okt. 2018 → 12 Okt. 2018 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Band | 11269 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
Abstract
Appearance-based person re-identification (PRID) is currently an active and challenging research topic. Recently proposed approaches have mostly dealt with low- and middle-level processing of images. Furthermore, there is very limited research that has focused on view information. View variation limits the performance of most approaches because a person’s appearance from one view can be completely different from that of another view, which makes the re-identification challenging. In this work, we study the influence of the view on PRID and propose several fusion strategies that utilize multi-view information to handle the PRID problem. We perform experiments on a re-mapped version of Market-1501 dataset and an internal dataset. Our proposed multi-view strategy increases the recognition rate at rank-one by a large margin in comparison with that obtained via random view matching or multi-shot.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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Pattern Recognition: 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12-2018, Proceedings. Hrsg. / Thomas Brox; Andrés Bruhn; Mario Fritz. 1. Aufl. Cham: Springer Verlag, 2019. S. 46-59 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 11269 LNCS).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - View-Aware Person Re-identification
AU - Blott, Gregor
AU - Yu, Jie
AU - Heipke, Christian
PY - 2019
Y1 - 2019
N2 - Appearance-based person re-identification (PRID) is currently an active and challenging research topic. Recently proposed approaches have mostly dealt with low- and middle-level processing of images. Furthermore, there is very limited research that has focused on view information. View variation limits the performance of most approaches because a person’s appearance from one view can be completely different from that of another view, which makes the re-identification challenging. In this work, we study the influence of the view on PRID and propose several fusion strategies that utilize multi-view information to handle the PRID problem. We perform experiments on a re-mapped version of Market-1501 dataset and an internal dataset. Our proposed multi-view strategy increases the recognition rate at rank-one by a large margin in comparison with that obtained via random view matching or multi-shot.
AB - Appearance-based person re-identification (PRID) is currently an active and challenging research topic. Recently proposed approaches have mostly dealt with low- and middle-level processing of images. Furthermore, there is very limited research that has focused on view information. View variation limits the performance of most approaches because a person’s appearance from one view can be completely different from that of another view, which makes the re-identification challenging. In this work, we study the influence of the view on PRID and propose several fusion strategies that utilize multi-view information to handle the PRID problem. We perform experiments on a re-mapped version of Market-1501 dataset and an internal dataset. Our proposed multi-view strategy increases the recognition rate at rank-one by a large margin in comparison with that obtained via random view matching or multi-shot.
KW - Person Re-identification
KW - PRID
KW - Re-ID
UR - http://www.scopus.com/inward/record.url?scp=85063432422&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-12939-2_4
DO - 10.1007/978-3-030-12939-2_4
M3 - Conference contribution
AN - SCOPUS:85063432422
SN - 9783030129385
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 46
EP - 59
BT - Pattern Recognition
A2 - Brox, Thomas
A2 - Bruhn, Andrés
A2 - Fritz, Mario
PB - Springer Verlag
CY - Cham
T2 - 40th German Conference on Pattern Recognition, GCPR 2018
Y2 - 9 October 2018 through 12 October 2018
ER -