TY - GEN
T1 - Person Re-identification by Integrating Static Texture and Shape Cues
AU - Madongo, Canaan Tinotenda
AU - Huang, Di
AU - Chen, Jiaxin
N1 - Publisher Copyright:
© 2017, Springer International Publishing AG.
PY - 2017
Y1 - 2017
N2 - Person Re-Identification (Re-ID) is a challenging task with wide ranging applications in various fields. This paper presents a novel hand-crafted method for this issue, enhancing the state of the art ones in literature in two aspects. In contrast to most current studies that analyze texture features, we propose a discriminative and compact shape feature by applying Procrustes shape analysis. It not only retains shape distinctiveness of an individual sample, but also alleviates cross-view impacts. Furthermore, we combine the shape feature with some current popular texture features, namely LOMO and mid-level filters, so that the advantages of multiple clues can be jointly used. A score level fusion strategy is finally adopted to optimally integrate their credits. Evaluated on two public benchmarks, i.e. VIPeR and CUHK03, the proposed method achieves very competitive results, indicating its effectiveness in person Re-ID.
AB - Person Re-Identification (Re-ID) is a challenging task with wide ranging applications in various fields. This paper presents a novel hand-crafted method for this issue, enhancing the state of the art ones in literature in two aspects. In contrast to most current studies that analyze texture features, we propose a discriminative and compact shape feature by applying Procrustes shape analysis. It not only retains shape distinctiveness of an individual sample, but also alleviates cross-view impacts. Furthermore, we combine the shape feature with some current popular texture features, namely LOMO and mid-level filters, so that the advantages of multiple clues can be jointly used. A score level fusion strategy is finally adopted to optimally integrate their credits. Evaluated on two public benchmarks, i.e. VIPeR and CUHK03, the proposed method achieves very competitive results, indicating its effectiveness in person Re-ID.
KW - Feature fusion
KW - Person re-identification
KW - Shape analysis
UR - https://www.scopus.com/pages/publications/85032654378
U2 - 10.1007/978-3-319-69923-3_71
DO - 10.1007/978-3-319-69923-3_71
M3 - 会议稿件
AN - SCOPUS:85032654378
SN - 9783319699226
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 660
EP - 669
BT - Biometric Recognition - 12th Chinese Conference, CCBR 2017, Proceedings
A2 - Wang, Yunhong
A2 - Qiao, Yu
A2 - Zhou, Jie
A2 - Feng, Jianjiang
A2 - Sun, Zhenan
A2 - Guo, Zhenhua
A2 - Shan, Shiguang
A2 - Shen, Linlin
A2 - Yu, Shiqi
A2 - Xu, Yong
PB - Springer Verlag
T2 - 12th Chinese Conference on Biometric Recognition, CCBR 2017
Y2 - 28 October 2017 through 29 October 2017
ER -