Abstract
In this paper, we propose a novel unsupervised color spatial pyramid matching (UCSPM) approach for person re-identification. It is well motivated by our study on spatial pyramid to build effective structural object representation for person re-identification. Through the combination of illumination invariance color feature, UCSPM can well cope with the variations of viewpoint, illumination and pose. First, local superpixel regions are divided to accurately represent the color feature. Second, human body are divided into increasing fine vertical sub-regions to construct the spatial pyramid matching scheme. Third, the color feature and its spatial distribution information are used in a pyramid match kernel for calculating the similarity between person and person. The effectiveness of our approach is validated on the VIPeR dataset and CUHK campus dataset. Comparing with other approaches, our UCSPM improves the best unsupervised rank-1 matching rate on the VIPeR dataset by 3.08% with only one kind of feature—color.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Farenzena, M., Bazzani, L., Perina, A., Murino, V., Cristani, M.: Person re-identification by symmetry-driven accumulation of local features. In: Conference on Computer Vision and Pattern, pp. 2360–2367 (2010)
Prosser, B., Zheng, W.-S., Gong, S., Xiang, T.: Person re-identification by support vector ranking. In: British Machine Vision Conference, pp. 1–11 (2010)
Zheng, W.-S., Gong, S., Xiang, T.: Person re-identification by probabilistic relative distance comparison. In: Conference on Computer Vision and Pattern Recognition, pp. 649–656 (2011)
Liu, C., Gong, S., Loy, C.C.: On-the-fly feature importance mining for person re-identification. Pattern Recognition 47(4), 1602–1615 (2014)
Zhao, R., Ouyang, W., Wang, X.: Unsupervised salience learning for person re-identification. In: Conference on Computer Vision and Pattern Recognition, pp. 3586–3593 (2013)
Dikmen, M., Akbas, E., Huang, T.S., Ahuja, N.: Pedestrian recognition with a learned metric. In: Asian Conference on Computer Vision, pp. 501–512 (2010)
Hirzer, M., Roth, P.M., Köstinger, M., Bischof, H.: Relaxed pairwise learned metric for person re-identification. In: European Conference on Computer Vision, pp. 780–793 (2012)
Ma, B., Su, Y., Jurie, F.: Bicov: a novel image representation for person re-identification and face verification. In: British Machine Vision Conference, pp. 1–11 (2012)
Ma, B., Ma, B., Li, Q., Li, Q., Chang, H., Chang, H.: Gaussian descriptor based on local features for person re-identification. In: Jawahar, C.V., Jawahar, C.V., Jawahar, C.V., Jawahar, C.V., Shan, S., Shan, S. (eds.) ACCV 2014 Workshops. LNCS, vol. 9010, pp. 505–518. Springer, Heidelberg (2015)
Lazebnik, S., Schmid, C., Ponce, J.: Beyond bags of features: spatial pyramid matching for recognizing natural scene categories. In: Conference on Computer Vision and Pattern Recognition, pp. 2169–2178 (2006)
Grauman, K., Darrell, T.: The pyramid match kernel: discriminative classification with sets of image features. In: Tenth IEEE International Conference on Computer Vision, 2005, ICCV 2005, vol. 2, pp. 1458–1465 (2005)
van de Weijer, J., Schmid, C.: Coloring local feature extraction. In: European Conference on Computer Vision, pp. 334–348 (2006)
Gray, D., Tao, H.: Viewpoint invariant pedestrian recognition with an ensemble of localized features. In: European Conference on Computer Vision, pp. 262–275 (2008)
Gray, D., Brennan, S., Tao, H.: Evaluating appearance models for recognition, reacquisition, and tracking. In: Proc. IEEE International Workshop on Performance Evaluation for Tracking and Surveillance (PETS), vol. 3 (2007)
Li, W., Zhao, R., Wang, X.: Human reidentification with transferred metric learning. In: Asian Conference on Computer Vision, pp. 31–44 (2012)
Zheng, W.-S., Gong, S., Xiang, T.: Transfer re-identification: from person to set-based verification. In: Computer Vision and Pattern Recognition, pp. 2650–2657 (2012)
Ma, A.J., Yuen, P.C., Li, J.: Domain transfer support vector ranking for person re-identification without target camera label information. In: International Conference on Computer Vision, pp. 3567–3574 (2013)
Gehler, P.V., Rother, C., Blake, A., Minka, T.P., Sharp, T.: Bayesian color constancy revisited. In: Conference on Computer Vision and Pattern (2008)
Li, W., Zhao, R., Xiao, T., Wang, X.: Deepreid: deep filter pairing neural network for person re-identification. In: Conference on Computer Vision and Pattern Recognition, pp. 152–159 (2014)
Koen, E.A., van de Sande, T.G., Snoek, C.G.M.: Evaluating color descriptors for object and scene recognition. IEEE Trans. Pattern Analysis and Machine Intelligence 32(9), 1582–1596 (2010)
Burghouts, G.J., Geusebroek, J.-M.: Performance evaluation of local colour invariants. Computer Vision and Image Understanding 113(1), 48–62 (2009)
Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., Süsstrunk, S.: SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Trans. Pattern Anal. Mach. Intell. 34(11), 2274–2282 (2012)
Cheng, D.S., Cristani, M., Stoppa, M., Bazzani, L., Murino, V.: Custom pictorial structures for re-identification. In: British Machine Vision Conference, pp. 1–11 (2011)
Zhao, R., Ouyang, W., Wang, X.: Person re-identification by salience matching. In: International Conference on Computer Vision, pp. 2528–2535 (2013)
Mignon, A., Jurie, F.: PCCA: a new approach for distance learning from sparse pairwise constraints. In: Conference on Computer Vision and Pattern Recognition, pp. 2666–2672 (2012)
Zhao, R., Ouyang, W., Wang, X.: Learning mid-level filters for person re-identification. In: Conference on Computer Vision and Pattern Recognition, pp. 144–151 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Huang, Y., Sheng, H., Liu, Y., Zheng, Y., Xiong, Z. (2015). Person Re-identification by Unsupervised Color Spatial Pyramid Matching. In: Zhang, S., Wirsing, M., Zhang, Z. (eds) Knowledge Science, Engineering and Management. KSEM 2015. Lecture Notes in Computer Science(), vol 9403. Springer, Cham. https://doi.org/10.1007/978-3-319-25159-2_74
Download citation
DOI: https://doi.org/10.1007/978-3-319-25159-2_74
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25158-5
Online ISBN: 978-3-319-25159-2
eBook Packages: Computer ScienceComputer Science (R0)