Abstract
In this paper, we present a new solution to the problem of person re-identification. Person re-identification means to match observations of the same person across different time and possibly different cameras. The appearance based person re-identification must deal with several challenges such as variations of illumination conditions, poses and occlusions. Our proposed method inspires from the spirit of self-similarity. Self-similarity is an attractive property in visual recognition. Instead of comparing image descriptors between two images directly, the self-similarity measures how similar they are to a neighborhood of themselves. The self-similarities of image patterns within the image are modeled in two different ways in the proposed Global Color Context (GCC) method. The spatial distributions of self-similarities w.r.t. color words are combined to characterize the appearance of pedestrians. Promising results are obtained in the public ETHZ database compared with state-of-art performances.
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References
Ferencz, A., Learned-Miller, E.G., Malik, J.: Learning to locate informative features for visual identification. International Journal of Computer Vision 77, 3–24 (2008)
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)
Farenzena, M., Bazzani, L., Perina, A., Murino, V., Cristani, M.: Person re-identification by symmetry-driven accumulation of local features. In: Proceedings of Computer Vision and Pattern Recognition (2010)
Shet, V.D., Harwood, D., Davis, L.S.: Multivalued default logic for identity maintenance in visual surveillance. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3954, pp. 119–132. Springer, Heidelberg (2006)
Javed, O., Rasheed, Z., Shafique, K., Shah, M.: Tracking across multiple cameras with disjoint views. In: Proceedings of International Conference on Computer Vision, pp. 952–957 (2003)
Junejo, I.N., Dexter, E., Laptev, I., Perez, P.: View-independent action recognition from temporal self-similarities. IEEE Transactions on Pattern Analysis and Machine Intelligence 99 (2010)
Shechtman, E., Irani, M.: Matching local self-similarities across images and videos. In: Proceedings of Computer Vision and Pattern Recognition, pp. 1–8 (2007)
Ojala, T., Pietikäinen, M., Mäenpää, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence, 971–987 (2002)
Schwartz, W.R., Davis, L.S.: Learning discriminative appearance-based models using partial least squares. In: Proceedings of the XXII Brazilian Symposium on Computer Graphics and Image Processing (2009)
Gilbert, A., Bowden, R.: Tracking objects across cameras by incrementally learning inter-camera colour calibration and patterns of activity. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 125–136. Springer, Heidelberg (2006)
Javed, O., Shafique, K., Shah, M.: Appearance modeling for tracking in multiple non-overlapping cameras. In: Proceedings of Computer Vision and Pattern Recognition, pp. 26–33 (2005)
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 (2010)
van de Weijer, J., Schmid, C.: Coloring local feature extraction. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 334–348. Springer, Heidelberg (2006)
Burghouts, G.J., Geusebroek, J.M.: Performance evaluation of local colour invariants. Computer Vision and Image Understanding 113, 48–62 (2009)
Schwartz, W., Kembhavi, A., Harwood, D., Davis, L.: Human detection using partial least squares analysis. In: Proceedings of International Conference on Computer Vision (2009)
Takala, V., Cai, Y., Pietikäinen, M.: Boosting clusters of samples for sequence matching in camera networks. In: Proceedings of International Conference on Pattern Recognition (2010)
van Gemert, J.C., Veenman, C.J., Smeulders, A.W.M., Geusebroek, J.M.: Visual word ambiguity. IEEE Transactions on Pattern Analysis and Machine Intelligence 32, 1271–1283 (2010)
Ess, A., Leibe, B., Schindler, K., Gool, L.V.: A mobile vision system for robust multi-person tracking. In: Proceedings of Computer Vision and Pattern Recognition, pp. 1–8 (2008)
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Cai, Y., Pietikäinen, M. (2011). Person Re-identification Based on Global Color Context. In: Koch, R., Huang, F. (eds) Computer Vision – ACCV 2010 Workshops. ACCV 2010. Lecture Notes in Computer Science, vol 6468. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22822-3_21
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DOI: https://doi.org/10.1007/978-3-642-22822-3_21
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