Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Discovering Multi-relational Latent Attributes by Visual Similarity Networks Read chapter Read first chapter

2015 | OriginalPaper | Chapter

People Re-identification Based on Bags of Semantic Features

Authors : Zhi Zhou, Yue Wang, Eam Khwang Teoh

Published in: Computer Vision - ACCV 2014 Workshops

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

People re-identification has attracted a lot of attention recently. As an important part in disjoint cameras based surveillance system, it faces many problems. Various factors like illumination condition, viewpoint of cameras and occlusion make people re-identification a difficult task. In this paper, we exploit the performance of bags of semantic features on people re-identification. Semantic features are mid-level features that can be directly described by words, such as hair length, skin tone, race, clothes colors and so on. Although semantic features are not as discriminative as local features used in existing methods, they are more invariant. Therefore, good performance on people re-identification can be expected by combining a set of semantic features. Experiments are carried out on VIPeR dataset. Comparison with some state-of-the-art works is provided and the proposed method shows better performance.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Face Recognition with Image Misalignment via Structure Constraint Coding
next chapter Tracking Pedestrians Across Multiple Cameras via Partial Relaxation of Spatio-Temporal Constraint and Utilization of Route Cue
Literature
1.
Gray, D., Brennan, S., Tao, H.: Evaluating appearance models for recognition, reacquisition, and tracking. In: IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (2007)
2.
Javed, O., Rasheed, Z., Shafique, K., Shah, M.: Tracking across multiple cameras with disjoint views. In: Proceedings of Ninth IEEE International Conference on Computer Vision (ICCV), pp. 952–957 (2003)
3.
Bird, N.D., Masoud, O., Papanikolopoulos, N.P., Isaacs, A.: Detection of loitering individuals in public transportation areas. IEEE Trans. Intell. Transp. Syst. 6, 167–177 (2005)CrossRef
4.
Kao, J.-H., Lin, C.-Y., Wang, W.-H., Wu, Y.-T.: A unified hierarchical appearance model for people re-identification using multi-view vision sensors. In: Huang, Y.-M.R., Xu, C., Cheng, K.-S., Yang, J.-F.K., Swamy, M.N.S., Li, S., Ding, J.-W. (eds.) PCM 2008. LNCS, vol. 5353, pp. 553–562. Springer, Heidelberg (2008) CrossRef
5.
Madden, C., Cheng, E.D., Piccardi, M.: Tracking people across disjoint camera views by an illumination-tolerant appearance representation. Mach. Vis. Appl. 18, 233–247 (2007)CrossRefMATH
6.
Farenzena, M., Bazzani, L., Perina, A., Murino, V., Cristani, M.: Person re-identification by symmetry-driven accumulation of local features. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2360–2367 (2010)
7.
Berdugo, G., Soceanu, O., Moshe, Y., Rudoy, D., Dvir, I.: Object reidentification in real world scenarios across multiple non-overlapping cameras. In: Proceedings of the European Signal Processing Conference, pp. 1806–1810 (2010)
8.
Gheissari, N., Sebastian, T.B., Hartley, R.: Person reidentification using spatiotemporal appearance. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 2, pp. 1528–1535 (2006)
9.
Hamdoun, O., Moutarde, F., Stanciulescu, B., Steux, B.: Person re-identification in multi-camera system by signature based on interest point descriptors collected on short video sequences. In: Second ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), pp. 1–6 (2008)
10.
Wang, X., Doretto, G., Sebastian, T., Rittscher, J., Tu, P.: Shape and appearance context modeling. In: Proceedings of IEEE International Conference on Computer Vision (ICCV) (2007)
11.
Aziz, K.-E., Merad, D., Fertil, B.: Person re-identification using appearance classification. In: Kamel, M., Campilho, A. (eds.) ICIAR 2011, Part II. LNCS, vol. 6754, pp. 170–179. Springer, Heidelberg (2011) CrossRef
12.
Bak, S., Corvee, E., Bremond, F., Thonnat, M.: Boosted human re-identification using riemannian manifolds. Image Vis. Comput. 30, 443–452 (2012)CrossRef
13.
Zheng, W.S., Gong, S., Xiang, T.: Associating groups of people. In: Proceedings of the British Machine Vision Conference (BMVC) (2009)
14.
Zhao, R., Ouyang, W., Wang, X.: Unsupervised salience learning for person re-identification. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3586–3593 (2013)
15.
Zheng, W.S., Gong, S., Xiang, T.: Reidentification by relative distance comparison. IEEE Trans. Pattern Anal. Mach. Intell. 35, 653–668 (2013)CrossRef
16.
Gray, D., Tao, H.: Viewpoint invariant pedestrian recognition with an ensemble of localized features. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 262–275. Springer, Heidelberg (2008) CrossRef
17.
Prosser, B., Zheng, W.S., Gong, S., Xiang, T., Mary, Q.: Person re-identification by support vector ranking. In: Proceedings of the British Machine Vision Conference (BMVC), vol. 1, p. 5 (2010)
18.
Bak, S., Corvee, E., Brémond, F., Thonnat, M.: Person re-identification using haar-based and dcd-based signature. In: IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pp. 1–8 (2010)
19.
Dantcheva, A., Dugelay, J.L.: Frontal-to-side face re-identification based on hair, skin and clothes patches. In: IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), pp. 309–313 (2011)
20.
Vaquero, D.A., Feris, R.S., Tran, D., Brown, L., Hampapur, A., Turk, M.: Attribute-based people search in surveillance environments. In: Workshop on Applications of Computer Vision (WACV), pp. 1–8 (2009)
21.
Layne, R., Hospedales, T.M., Gong, S., et al.: Person re-identification by attributes. In: BMVC, vol. 2, p. 3 (2012)
22.
Layne, R., Hospedales, T.M., Gong, S.: Towards person identification and re-identification with attributes. In: Fusiello, A., Murino, V., Cucchiara, R. (eds.) ECCV 2012 Ws/Demos, Part I. LNCS, vol. 7583, pp. 402–412. Springer, Heidelberg (2012)
23.
Jojic, N., Perina, A., Cristani, M., Murino, V., Frey, B.: Stel component analysis: modeling spatial correlations in image class structure. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2044–2051 (2009)
24.
Dantcheva, A., Velardo, C., Dangelo, A., Dugelay, J.L.: Bag of soft biometrics for person identification. Multimedia Tools Appl. 51, 739–777 (2011)CrossRef
25.
Wang, Y., Zhou, Z., Teoh, E.K.: Human hair segmentation and length detection for human appearance model. In: International Conference on Pattern Recognition (ICPR) (2014)
26.
Comaniciu, D., Meer, P.: Mean shift: a robust approach toward feature space analysis. IEEE Trans. Pattern Anal. Mach. Intell. 24, 603–619 (2002)CrossRef
27.
Zhou, Z., Wang, Y., Teoh, E.K.: People apparel model for human appearance description. In: International Conference on Information, Communications and Signal Processing (ICICS), pp. 1–5 (2013)
28.
Vezhnevets, V., Sazonov, V., Andreeva, A.: A survey on pixel-based skin color detection techniques. Proc. Graphicon. 3, 85–92 (2003)
29.
Sobottka, K., Pitas, I.: A novel method for automatic face segmentation, facial feature extraction and tracking. Sig. Process. Image Commun. 12, 263–281 (1998)CrossRef
Metadata
Title
People Re-identification Based on Bags of Semantic Features
Authors
Zhi Zhou
Yue Wang
Eam Khwang Teoh
Copyright Year
2015
Book
Computer Vision - ACCV 2014 Workshops

Print ISBN: 978-3-319-16633-9

Electronic ISBN: 978-3-319-16634-6

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-16634-6_42

Premium Partner

    Image Credits