Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

A person re-identification algorithm based on pyramid color topology feature

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

Due to illumination variations, person re-identification algorithms based on color features are not robust in practical applications. Different persons may have similar statistical distribution in terms of color histogram, while same person may have different statistical distributions. On the other hand, the color spatial distribution can remain stable, even for illumination variations. In our previous work, a new feature, namely the weighted color topology (WCT), is proposed to describe the color spatial distribution. However, since WCT is extracted on a single scale of region-division, it only represents part of color spatial distribution information. In this paper, a pyramid color topology (PCT) is proposed to extract WCTs on different scales of region-division. PCT can achieve a full description of multi-scales topology information. Based on PCT, a person re-identification algorithm is implemented. The experimental results demonstrate that the proposed algorithm can improve the recognition performance compared with both WCT and the state-of-the-art algorithms.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. An L, Chen X, Yang S (2016) Person re-identification via hypergraph-based matching. Neurocomputing 182:247–254

    Article  Google Scholar 

  2. Bay H, Tuytelaars T, Gool L (2006) SURF: speeded up robust features. Eur Conf Comput Vis (ECCV) 404–417

  3. Bazzani L, Cristani M, Perina A et al (2012) Multiple-shot person re-identification by chromatic and epitomic analyses. Pattern Recognition Letters (PRL) 33(7):898–903

    Article  Google Scholar 

  4. Bazzani L, Cristani M, Murino V (2013) Symmetry-driven accumulation of local features for human characterization and re-identification. Computer Vision and Image Understanding (CVIU) 117(2):130–144

    Article  Google Scholar 

  5. Bazzani L, Cristani M, Murino V (2014) SDALF: modeling human appearance with symmetry-driven accumulation of local features, person re-identification. Springer 43–69

  6. Cai Y, Pietikäinen M (2011) Person re-identification based on global color context. IEEE Asian Conf Comput Vis (ACCV) 205–215

  7. Dalal N, Triggs B (2005) Histograms of oriented gradients for human detection. IEEE Conf Comput Vis Pattern Recognit (CVPR) 886–893

  8. Ess A, Leibe B, Gool L (2007) Depth and appearance for mobile scene analysis. IEEE Conf Comput Vis (ICCV) 1–8

  9. Farenzena M, Bazzani L, Perina A 2010 Person re-identification by symmetry-driven accumulation of local features. IEEE Conf Comput Vis Pattern Recognit (CVPR) 2360–2367

  10. Gala AB, Shah SK 2011 Multiple person re-identification using part based spatio-temporal color appearance model. IEEE Asian Conf Comput Vis (ACCV) 1721–1728

  11. Geng YB, Hu HM, et al. (2013) A person re-identification algorithm by using region-based feature selection and feature fusion. IEEE Int Conf Image Process (ICIP)

  12. Geng Y, Hu HM, Zeng G (2015) A person re-identification algorithm by exploiting region-based feature salience. J of Visual Comm and Image Representation (JVCI) 29:89–102

    Article  Google Scholar 

  13. Gray D, Brennan S, Tao H (2007) Evaluating appearance models for recognition, reacquisition and tracking. IEEE Int Workshop Perform Eval Tracking Surveill

  14. Hu M, Hu W, Tan T (2004) Tracking people through occlusions. IEEE Conf Pattern Recognit (ICPR) 724–727

  15. Yang H, Wang X, Zhu J, Ma W, Hang Su (2016) Resolution adaptive feature extracting and fusing framework for person re-identification. Neurocomputing 212:65–74

  16. Jeong K, Jaynes C (2008) Object matching in disjoint cameras using a color transfer approach. Mach Vis Appl 443–455

  17. Jiang F, Hu HM, Zheng J, Li B (2016) A hierarchal BoW for image retrieval by enhancing feature salience. Neurocomputing 175:146–154

  18. García J, Martinel N, Garde Al, Bravo I, Foresti GL, Micheloni C (2016) Modeling feature distances by orientation driven classifiers for person re-identification. Journal of Visual Communication and Image Representation 38:115–129

  19. Lazebnik S, Schmid C, Ponce J (2006) Beyond bags of features: spatial pyramid matching for recognizing natural scene categories. IEEE Conf Comput Vis Pattern Recognit (CVPR) 2169–2178

  20. Li W, Huang C, Luo B et al (2016) Person re-identification based on multi-region-set ensembles. J. of Visual Comm. and Image Representation (JVCI) 40:67–75

    Article  Google Scholar 

  21. Liao S, Hu Y et al. (2015) Person re-identification by local maximal occurrence representation and metric learning. IEEE Conf Comput Vis Pattern Recognit (CVPR) 2197–2206

  22. Lin Y, Guo F, Cao L, Wang J (2016) Person re-identification based on multi-instance multi-label learning. Neurocomputing 217:19–26

    Article  Google Scholar 

  23. Liu H, Qi M, Jiang J (2015) Kernelized relaxed margin components analysis for person Re-identification. IEEE Signal Processing Paper (SPL) 22(7):910–914

    Article  Google Scholar 

  24. Lowe D (2004) Distinctive image features from scale-invariant Keypoints. Intl Journal of Computer Vision (IJCV) 60(2):91–110

    Article  Google Scholar 

  25. Lu H, Lu S et al (2012) Pixel-wise spatial pyramid-based hybrid tracking. IEEE Trans on Circuits and Systems for Video Technology (TCSVT) 22(9):1365–1376

    Article  Google Scholar 

  26. Ma L, Yang X, Xu Y, Zhu J (2011) Human identification using body prior and generalized EMD. IEEE Int Conf Image Process (ICIP) 1441–1444

  27. Ma B, et al. (2012) Local descriptors encoded by fisher vectors for person re-identification. IEEE Eur Conf Comput Vis (ECCV) 413–422

  28. Martinel N, Micheloni C (2015) Classification of local Eigen-dissimilarities for person Re-identification. IEEE Signal Processing Paper (SPL) 22(4):455–459

    Article  Google Scholar 

  29. Ojala T et al (1996) A comparative study of texture measures with classification based on featured distributions. Pattern Recogn (PR) 29(1):51–59

    Article  Google Scholar 

  30. Oreifej O, Mehran R, Shah M (2010) Human identity recognition in aerial images. IEEE Conf Comput Vis Pattern Recognit (CVPR) 709–716

  31. Piccardi M, Cheng ED (2005) Multi-frame moving object track matching based on an incremental major color spectrum histogram matching algorithm. IEEE Conf Comput Vis Pattern Recognit-Workshops (CVPR) 19

  32. Prosser B, Gong S, Xiang T (2008a) Multi-camera matching using bi-directional cumulative brightness transfer functions. Br Mach Vis Conf (BMVC) 161–164

  33. Prosser B et al. (2008b) Multi-camera matching under illumination change over time. Workshop on multi-camera and multi-modal sensor fusion algorithms and applications-M2SFA2

  34. Leng Q, Hu R, Liang C, Wang Y, Chen J (2015) Person re-identification with content and context re-ranking. Multimedia Tools and Applications 74(17):6989–7014

  35. Ren Z, Gao S, Chia LT, Tsang IW (2014) Region-based saliency detection and its application in object recognition. IEEE Trans on Circuits and Systems for Video Technology (TCSVT) 24(5):769–779

    Article  Google Scholar 

  36. Schwartz WR, Davis LS (2009) Learning discriminative appearance-based models using partial least squares. Comput Graph Image Process (SIBGRAPI) 322–329

  37. Wu Z et al (2015) Viewpoint invariant human Re-identification in camera networks using pose priors and subject-discriminative features. IEEE Transactions on Pattern Analysis and Machine Intelligence(PAMI) 37(5):1095–1108

    Article  Google Scholar 

  38. Yang JC, Yu K et al. 2009 Linear spatial pyramid matching using sparse coding for image classification. IEEE Conf Comput Vis Pattern Recognit (CVPR) 1794–1801

  39. Yang Y, Yang J et al (2014) Salient color names for person Re-identification. European Conf on Computer Vision (ECCV) 8689:536–551

    Google Scholar 

  40. Zeng GD, Hu HM, Geng YB, Zhang C (2014) A person re-identification algorithm based on color topology. IEEE Int Conf Image Process (ICIP)

  41. Zhang Y, Wu J, Cai J (2014) Flexible image similarity computation using hyper-spatial matching. IEEE Trans on Image Processing (TIP) 23(9):4112–4125

    Article  MathSciNet  MATH  Google Scholar 

  42. Zhao M, Lin CQ (2009) Improved pyramid image fusion based on pseudo inverse. IEEE Youth Conf Inf Comput Telecommun 90–93

  43. Zhao R, Ouyang W, Wang X (2013) Unsupervised salience learning for person re-identification. IEEE Conf Comput Vis Pattern Recognit (CVPR) 3586–3593

Download references

Acknowledgements

This work was partially supported by the National Key Research and Development Program (Grant No. 2016YFC0801003), and the National Natural Science Foundation of China (No. No.61370121, 61421003).

Author information

Authors and Affiliations

  1. Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, 100191, China

    Hai-Miao Hu, Wen Fang, Guodong Zeng, Zihao Hu & Bo Li

  2. Beijing Key Laboratory of Digital Media, School of Computer Science and Technology, Beihang University, Xueyuan Road 37, Beijing, 100191, China

    Hai-Miao Hu

Authors
  1. Hai-Miao Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wen Fang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Guodong Zeng
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zihao Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Bo Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hai-Miao Hu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, HM., Fang, W., Zeng, G. et al. A person re-identification algorithm based on pyramid color topology feature. Multimed Tools Appl 76, 26633–26646 (2017). https://doi.org/10.1007/s11042-016-4188-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-016-4188-2

Keywords

Search

Navigation