Abstract
Appearance based person re-identification attracts the attention of researchers and presents an active research area for intelligent video surveillance systems. In this paper, we propose a new approach for person re-identification in multi-camera systems. This approach consists in computing a new person signature by extracting a texture descriptor, not from the entire body, but only from stripes selected automatically. In addition, in this work, unlike existing solutions using gray leveled body, we propose to compute the texture descriptor from HSV colored body. Our approach has been compared to state-of-the-art methods using the highly challenging VIPeR dataset. We prove from this comparative study, that the proposed approach improves both, time and quality performances of person re-identification.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bak, S., Corvee, E., Brémond, F., Thonnat, M.: Person Reidentification Using Haar-based and DCD-based Signature. In: Workshop on Activity Monitoring by Multi-Camera Surveillance Systems (2010)
Bazzani, L., Cristani, M., Murino, V.: Symmetry-Driven Accumulation of Local Features for Human Characterization and Re-identification. Comput. Vis. Image Underst. (2013)
Bhattacharyya, A.: On a Measure of Divergence Between two Statistical Populations Defined by Their Probability Distribution. Bull. Calcutta. Math. Soc. (1943)
Bialkowski, A., Denman, S., Sridharan, S., Fookes, C., Lucey, P.: A Database for Person Re-identification in Multi Camera Surveillance Networks. In: International Conference on Digital Image Computing Techniques and Applications (2012)
Derbel, A., Ben Jemaa, Y., Canals, R., Emile, B., Treuillet, S., Ben Hamadou, A.: Comparative Study Between Color Texture and Shape Descriptors for Multi-Camera Pedestrians Identification. In: International Conference on Image Processing Theory, Tools and Applications, Istanbul (2012)
Derbel, A., Ben Jemaa, Y., Treuillet, S., Emile, B., Canals, R., Ben Hamadou, A.: Robust Descriptors Fusion for Pedestrians’ Re-identification and Tracking Across a Camera Network. In: International Conference on Computer Vision Theory and Applications, Spain (2013)
Du, Y., Ai, H., Lao, S.: Evaluation of Color Spaces for Person Re-identification. In: 21st International Conference on Pattern Recognition, Japan (2012)
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)
Haralick, R.M., Shanmugam, K., Dinstein, I.: Textural Features for Image Classification. IEEE Trans. Syst. Man Cybernet. (1973)
Hirzer, M., Roth, P.M., Bischof, H.: Person Re-identification by Efficient Impostor-Based Metric Learning. In: 9th International Conference on Advanced Video and Signal-Based Surveillance (2012)
Ilyas, A., Scuturici, M., Miguet, S.: A Combined Motion and Appearance Model for Human Tracking in Multiple Cameras Environment. In: International Conference on Engineering and Technology, Pakistan (2010)
Kuo, C.H., Khamis, S., Shet, V.: Person Re-identification Using Semantic Color Names and Rankboost. In: IEEE Workshop on Applications of Computer Vision (2013)
Liu, C., Gong, S., Loy, C.C., Lin, X.: Person Re-identification: What Features are Important? In: 1st International Workshop on Re-Identification (2012)
O’Conaire, C., O’Connor, N.E., Smeaton, A.F.: An Improved Spatiogram Similarity Measure for Robust Object Localisation. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (2007)
Ojala, T., Pietikäinen, M., Harwood, D.: Performance Evaluation of Texture Measures with Classification based on Kullback Discrimination of Distributions. In: 12th International Conference on Pattern Recognition (1994)
Pudil, P., Novovicova, J., Kittler, J.: Floating Search Methods in Feature Selection. In: 12th International Conference on Pattern Recognition (1994)
Truong Cong, D.-N., Khoudour, L., Achard, C.: People Reacquisition across Multiple Cameras with Disjoint Views. In: Elmoataz, A., Lezoray, O., Nouboud, F., Mammass, D., Meunier, J. (eds.) ICISP 2010. LNCS, vol. 6134, pp. 488–495. Springer, Heidelberg (2010)
Yang, Z., Jin, L., Tao, D.: A Comparative Study of Several Feature Extraction Methods for Person Re-identification. In: Zheng, W.-S., Sun, Z., Wang, Y., Chen, X., Yuen, P.C., Lai, J. (eds.) CCBR 2012. LNCS, vol. 7701, pp. 268–277. Springer, Heidelberg (2012)
Zheng, W., Gong, S., Xiang, T.: Re-identification by Relative Distance Comparison. IEEE Trans. on Pattern Anal. Mach. Intell. (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Frikha, M., Fendri, E., Hammami, M. (2014). A New Appearance Signature for Real Time Person Re-identification. In: Corchado, E., Lozano, J.A., Quintián, H., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2014. IDEAL 2014. Lecture Notes in Computer Science, vol 8669. Springer, Cham. https://doi.org/10.1007/978-3-319-10840-7_22
Download citation
DOI: https://doi.org/10.1007/978-3-319-10840-7_22
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10839-1
Online ISBN: 978-3-319-10840-7
eBook Packages: Computer ScienceComputer Science (R0)