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Image Understanding-Person Re-identification

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Advanced Image and Video Processing Using MATLAB

Part of the book series: Modeling and Optimization in Science and Technologies ((MOST,volume 12))

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Abstract

In this chapter, we talk about one of the typical image understanding problems—cross-camera person re-identification. Some classical visual descriptors and metric learning algorithms for person re-identification are detailed.

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References

  1. Wang T, Gong S, Zhu X, Wang S (2016) Person re-identification by discriminative selection in video ranking. IEEE Trans Pattern Anal Mach Intelligen pp 1–1

    Google Scholar 

  2. You J, Wu A, Li X, Zheng WS (2016) Top-push video-based person re-identification, pp 1345–1353

    Google Scholar 

  3. Hirzer M, Beleznai C, Roth PM, Bischof H (2011) Person re-identification by descriptive and discriminative classification. Image Anal 91–102. Springer

    Google Scholar 

  4. Loy CC, Xiang T, Gong S (2009) Multi-camera activity correlation analysis. In: IEEE conference on computer vision and pattern recognition, CVPR 2009, pp 1988–1995. IEEE

    Google Scholar 

  5. Cheng DS, Cristani M, Michele S, Loris B, Vittorio M (2011) Custom pictorial structures for re-identification. In BMVC, vol 2, p 6. Citeseer

    Google Scholar 

  6. Farenzena M, Bazzani L, Perina A, Murino V, Cristani M (2010) Person re-identification by symmetry-driven accumulation of local features. In: 2010 IEEE conference on computer vision and pattern recognition, CVPR, pp 2360–2367. IEEE

    Google Scholar 

  7. Kviatkovsky Igor, Adam Amit, Rivlin Ehud (2013) Color invariants for person reidentification. IEEE Trans Pattern Anal Mach Intelligen 35(7):1622–1634

    Article  Google Scholar 

  8. Pedagadi S, Orwell J, Velastin S, Boghossian B (2013) Hierarchical Gaussian descriptor for :Person re-identification. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1363–1372

    Google Scholar 

  9. Yang Y, Yang J, Yan J, Liao S, Yi D, Li SZ (2014) Salient color names for person re-identification. In: ECCV, pp 536–551

    Google Scholar 

  10. Koestinger M, Hirzer M, Wohlhart P, Roth PM, Bischof H (2012) Large scale metric learning from equivalence constraints. In: 2012 IEEE conference on computer vision and pattern recognition (CVPR), pp 2288–2295. IEEE

    Google Scholar 

  11. Liao S, Hu Y, Zhu X, Li SZ (2015) Person re-identification by local maximal occurrence representation and metric learning. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2197–2206

    Google Scholar 

  12. Weinberger KQ, Saul LK (2009) Distance metric learning for large margin nearest neighbor classification. J Mach Learn Res 10:207–244

    Google Scholar 

  13. Zheng Wei-Shi, Gong Shaogang, Xiang Tao (2013) Reidentification by relative distance comparison. IEEE Trans Pattern Anal Mach Intelligen 35(3):653–668

    Article  Google Scholar 

  14. Dalal N, Triggs B (2005) Histograms of oriented gradients for human detection. In: IEEE computer society conference on computer vision & pattern recognition, pp 886–893, 2005

    Google Scholar 

  15. Gray D, Brennan S, Tao H (2007) Evaluating appearance models for recognition, reacquisition, and tracking. In: Proceedings of IEEE international workshop on performance evaluation for tracking and surveillance (PETS), vol. 3. Citeseer

    Google Scholar 

  16. Bingpeng Ma YuSu, Jurie Frederic (2014) Covariance descriptor based on bio-inspired features for person re-identification and face verification. Image Vis Comput 32(6):379–390

    Google Scholar 

  17. Das A, Chakraborty A, Roy-Chowdhury AK (2014) Consistent re-identification in a camera network. In: European conference on computer vision, vol 8690. Lecture Notes in Computer Science, pp 330–345. Springer

    Google Scholar 

  18. Ahonen Timo, Hadid Abdenour, Pietikainen Matti (2006) Face description with local binary patterns: application to face recognition. IEEE Trans Pattern Anal Mach Intelligen 28(12):2037–2041

    Article  Google Scholar 

  19. Zhao R, Ouyang W, Wang X (2014) Learning mid-level filters for person re-identification. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 144–151

    Google Scholar 

  20. Bengio Yoshua (2009) Learning deep architectures for AI. Foundat Trends Machine Learn 2(1):1–127

    Article  Google Scholar 

  21. Xiao T, Li H, Ouyang W, Wang X (2016) Learning deep feature representations with domain guided dropout for person re-identification. In: IEEE conference on computer vision and pattern recognition

    Google Scholar 

  22. Zhao H, Tian M, Sun S, Shao J, Yan J, Yi S, Wang X, Tang X (2017) Spindle Net: person re-identification with human body region guided feature decomposition and fusion. In: IEEE Conference on computer vision and pattern recognition (2017)

    Google Scholar 

  23. Zhao L, Li X, Wang J, Zhuang Y (2017) Deeply-learned part-aligned representations for person re-identification. In: IEEE international conference on computer vision (2017)

    Google Scholar 

  24. Roth PM, Hirzer M, Köstinger M, Beleznai C, Bischof H (2014) Mahalanobis distance learning for Person Re-identification

    Google Scholar 

  25. Baltieri D, Vezzani R, Cucchiara R (2011) 3dpes: 3d people dataset for surveillance and forensics. In Proceedings of the 1st international ACM workshop on multimedia access to 3D human objects, pp 59–64. Scottsdale, Arizona, USA

    Google Scholar 

  26. Li W, Zhao R, Xiao T, Wang X (2012) Human reidentification with transferred metric learning. In Computer Vision–ACCV 2012, pp 31–44. Springer

    Google Scholar 

  27. Li W, Wang X (2013) Locally aligned feature transforms across views. In: IEEE conference on computer vision & pattern recognition, pp 3594–3601

    Google Scholar 

  28. Li W, Zhao R, Xiao T, Wang X (2014) Deepreid: deep filter pairing neural network for person re-identification. In: 2014 IEEE conference on computer vision and pattern recognition (CVPR), pp 152–159. IEEE

    Google Scholar 

  29. Bedagkar-Gala A, Shishir K Shah. A survey of approaches and trends in person re-identification. Image and Vision Computing, 32(4):270–286, 2014

    Google Scholar 

  30. William Robson Schwartz and Larry S. Davis

    Google Scholar 

  31. Bialkowski A, Denman S, Sridharan S, Fookes C, Lucey P (2013) A database for person re-identification in multi-camera surveillance networks. In International conference on digital image computing techniques and applications, pp 1–8

    Google Scholar 

  32. Wang T, Gong S, Zhu X, Wang S (2014) Person re-identification by video ranking. In: Computer vision–ECCV 2014, pp 688–703. Springer

    Google Scholar 

  33. Deng J, Dong W, Socher R, Li LJ, Li K, Fei-Fei L (2009) Imagenet: a large-scale hierarchical image database. In: IEEE conference on computer vision and pattern recognition, 2009. CVPR 2009, pp 248–255. IEEE

    Google Scholar 

  34. Pedagadi S, Orwell J, Velastin S, Boghossian B (2013) Local fisher discriminant analysis for pedestrian re-identification. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 3318–3325

    Google Scholar 

  35. Liao S, Zhao G, Kellokumpu V, Pietikäinen M, Li SZ (2010) Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes. In: Computer vision and pattern recognition, pp 1301–1306

    Google Scholar 

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Authors and Affiliations

  1. School of Computer Science and Engineering, Changshu Institute of Technology, Changshu, Jiangsu, China

    Shengrong Gong

  2. School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu, China

    Chunping Liu, Yi Ji, Baojiang Zhong & Husheng Dong

  3. College of Mathematics Physics and Information Engineering, Jiaxing University, Jiaxing, Zhejiang, China

    Yonggang Li

Authors
  1. Shengrong Gong
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  2. Chunping Liu
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  3. Yi Ji
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  4. Baojiang Zhong
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  5. Yonggang Li
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  6. Husheng Dong
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Corresponding author

Correspondence to Shengrong Gong .

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Gong, S., Liu, C., Ji, Y., Zhong, B., Li, Y., Dong, H. (2019). Image Understanding-Person Re-identification. In: Advanced Image and Video Processing Using MATLAB. Modeling and Optimization in Science and Technologies, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-77223-3_13

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  • DOI: https://doi.org/10.1007/978-3-319-77223-3_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77221-9

  • Online ISBN: 978-3-319-77223-3

  • eBook Packages: EngineeringEngineering (R0)

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