Abstract
In many multi-camera surveillance systems, there is a need to identify whether a captured person have emerged before over the network of cameras. This is the person re-identification problem. In this paper, we propose a novel re-identification method based on super pixel feature. Firstly, local C-SIFT features based on super pixel are extracted as visual words, and appearance details are used to describe detecting objects. Secondly, a TF-IDF vocabulary index tree is built to speed up person search. Finally, an image-retrieval way is adopted to implement person re-identification. Experimental results on ETHZ dataset show that our method is better than the approach proposed by Schwartz et.al and two machine learning methods based on SVM and PCA.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
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)
Madden, C., Cheng, E., Piccardi, M.: Tracking people across disjoint camera views by an illumination-tolerant appearance representation. Machine Vision and Applications 18(3), 233–247 (2007)
Park, U., Jain, A.K., Kitahara, I., Kogure, K., Hagita, N.: ViSE: Visual Search Engine Using Multiple Networked Cameras. In: 18th International Conference on Pattern Recognition, ICPR 2006, pp. 1204–1207 (2006)
Cai, Y., Pietikäinen, M.: Person Re-identification Based on Global Color Context. In: Koch, R., Huang, F. (eds.) ACCV Workshops 2010, Part I. LNCS, vol. 6468, pp. 205–215. Springer, Heidelberg (2011)
Truong Cong, D.N., Khoudour, L., Achard, C., Meurie, C., Lezoray, O.: People re-identification by spectral classification of silhouettes. Signal Processing 90(8), 2362–2374 (2010)
Nister, D., Stewenius, H.: Scalable Recognition with a Vocabulary Tree. In: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 2161–2168 (2006)
Sivic, J., Zisserman, A.: Video Google: a text retrieval approach to object matching in videos. In: Proceedings of the Ninth IEEE International Conference on Computer Vision, pp. 1470–1477 (2003)
Gheissari, N., Sebastian, T.B., Hartley, R.: Person Reidentification Using Spatiotemporal Appearance. In: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1528–1535 (2006)
Lowe, D.G.: Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision 60(2), 91–110 (2004)
Jüngling, K., Arens, M.: Local Feature Based Person Reidentification in Infrared Image Sequences. In: 2010 Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pp. 448–455 (2010)
Ren, X., Malik, J.: Learning a classification model for segmentation. In: Proceedings of the Ninth IEEE International Conference on Computer Vision, pp. 10–17 (2003)
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 2009, pp. 2044–2051 (2009)
Farenzena, M., Bazzani, L., Perina, A., Murino, V., Cristani, M.: Person re-identification by symmetry-driven accumulation of local features. In: 2010 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2360–2367 (2010)
van de Sande, K.E.A., Gevers, T., Snoek, C.G.M.: Evaluating Color Descriptors for Object and Scene Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 32(9), 1582–1596 (2010)
Schwartz, W.R., Davis, L.S.: Learning Discriminative Appearance-Based Models Using Partial Least Squares. In: 2009 XXII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI), pp. 322–329 (2009)
Ess, A., Leibe, B., Van Gool, L.: Depth and Appearance for Mobile Scene Analysis. In: IEEE 11th International Conference on Computer Vision, ICCV 2007, pp. 1–8 (2007)
Wei-Shi, Z., Shaogang, G., Tao, X.: Person re-identification by probabilistic relative distance comparison. In: 2011 IEEE Conference on Computer Vision and Pattern Recognition, pp. 649–656 (2011)
Ba, S., et al.: Person Re-identification Using Haar-based and DCD-based Signature. In: Advanced Video and Signal Based Surveillance (AVSS), pp. 1–8 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liu, C., Zhao, Z. (2013). Person Re-identification by Local Feature Based on Super Pixel. In: Li, S., et al. Advances in Multimedia Modeling. MMM 2013. Lecture Notes in Computer Science, vol 7732. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35725-1_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-35725-1_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35724-4
Online ISBN: 978-3-642-35725-1
eBook Packages: Computer ScienceComputer Science (R0)