Abstract
In this paper we propose a new feature for person re-identification with or without the full gallery of persons: the Fuzzy Space Color Histogram. This feature contains both the space and color information, and is characterized by fuzzy quantization. We can optionally integrate our feature with Fuzzy Foreground when accurate segmentation is unavailable. Intensive experiments on three typical datasets have demonstrated that our method achieves promising results in real time.
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References
Alahi A, Vandergheynst P, Bierlaire M, Kunt M (2010) Cascade of descriptors to detect and track objects across any network of cameras. Comput Vis Image Underst 114:624–640
Baltieri D, Vezzani R, Cucchiara R (2011) SARC3d: a new 3d body model for people tracking and re-identification. Int Conf Image Anal Process
Bauml M, Bernardin K, Fischer M, Ekenel H, Stiefelhagen R (2010) Multi-pose face recognition for person retrieval in camera networks. IEEE Int Conf Adv Video Signal Based Surveill
Comanicu D, Meer P (2002) Mean shift: A robust approach toward feature space analysis. IEEE Trans Pattern Anal Mach Intell 24:603–619
D’Angelo A, Dugelay J (2011) People re-identification in camera networks based on probabilistic color histograms. Proc of Electron Imaging
Farenzena M, Bazzani L, Perina A, Murino V, Cristani M (2010) Person re-identification by symmetry-driven accumulation of local features. IEEE Conf Comput Vis Pattern Recog
Gheissari N, Sebastian T, Hartley R (2006) Person reidentification using spatiotemporal appearance. IEEE Conf Comput Vis Pattern Recog
Gray D, Brennan S, Tao H, (2007) Evaluating appearance models for recognition, reacquisition, and tracking. IEEE Int Work Perform Eval Tracking Surveill
Gray D, Tao H (2008) Viewpoint invariant pedestrian recognition with an ensemble of localized features. Eur Conf Comput Vis
Hamdoun O, Moutarde F, Stanciulescu B, Steux B (2008) Person re-identification in multi-camera system by signature based on interest point descriptors collected on short video sequences. ACM/IEEE Int Conf Distrib Smart Cameras
Havasi L, Szlavik Z, Sziranyi T (2005) Eigenwalks: Walk detection and biometrics from symmetry patterns. IEEE Int Conf Image Process
Huang J, Kumar S, Mitra M, Zhu W, Zabih R (1999) Spatial color indexing and applications. Int J Comput Vis 35:245–268
Javed O, Shafique K, Rasheed Z, Shah M (2008) Modeling inter-camera space–time and appearance relationships for tracking across non-overlapping views. Comp Vision Image Underst 109:146–162
Javed O, Shafique K, Shah M (2005) Appearance modeling for tracking in multiple non-overlapping cameras. IEEE Conf Comput Vis Pattern Recognit
Loy C, Xiang T, Gong S (2010) Time-delayed correlation analysis for multi-camera activity understanding. Int J Comput Vis 90:106–129
Makris D, Ellis T, Black T (2004) Bridging the gaps between cameras. IEEE Conf Comput Vis Pattern Recognit
Oliveira I, Pio J (2009) People reidentification in a camera network. IEEE International Conference on Depend Auton Secure Comput
Ren X, Malik J (2003) Learning a classification model for segmentation. Int Conf Comput Vis
Wang L, Tan T, Ning H, Hu W (2003) Silhouette analysis-based gait recognition for human identification. IEEE Trans Pattern Anal Machine Intell 25:1505–1518
Zheng E, Chen Q, Yang X, Liu Y (2009) Robust 3d modeling from silhouette cues. IEEE Conf Acoust Speech Signal Process
Zheng WS, Gong S, Xiang T (2011) Person re-identification by probabilistic relative distance comparison. IEEE Conf Comput Vis Pattern Recog
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Xiang, Z.J., Chen, Q. & Liu, Y. Person re-identification by fuzzy space color histogram. Multimed Tools Appl 73, 91–107 (2014). https://doi.org/10.1007/s11042-012-1286-7
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DOI: https://doi.org/10.1007/s11042-012-1286-7