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2014 | OriginalPaper | Chapter

8. One-Shot Person Re-identification with a Consumer Depth Camera

Authors : Matteo Munaro, Andrea Fossati, Alberto Basso, Emanuele Menegatti, Luc Van Gool

Published in: Person Re-Identification

Publisher: Springer London

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Abstract

In this chapter, we propose a comparison between two techniques for one-shot person re-identification from soft biometric cues. One is based upon a descriptor composed of features provided by a skeleton estimation algorithm; the other compares body shapes in terms of whole point clouds. This second approach relies on a novel technique we propose to warp the subject’s point cloud to a standard pose, which allows to disregard the problem of the different poses a person can assume. This technique is also used for composing 3D models which are then used at testing time for matching unseen point clouds. We test the proposed approaches on an existing RGB-D re-identification dataset and on the newly built BIWI RGBD-ID dataset. This dataset provides sequences of RGB, depth, and skeleton data for 50 people in two different scenarios and it has been made publicly available to foster advancement in this new research branch.

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previous chapter Person Re-identification by Articulated Appearance Matching

next chapter Group Association: Assisting Re-identification by Visual Context

The BIWI RGBD-ID dataset can be downloaded at: http://robotics.dei.unipd.it/reid.

Microsoft’s SDK provides a flag for every joint stating if it is tracked, inferred, or not tracked.

It is worth noting that all the links belonging to the torso have the same orientation, as the hip center.

Apostoloff, N., Zisserman, A.: Who Are You? - Real-time Person Identification. In: British Machine Vision Conference (2007)

Barbosa, B.I., Cristani, M., Del Bue, A., Bazzani, L., Murino, V.: Re-identification with rgb-d sensors. In: First International Workshop on Re-identification (2012)

Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: Speeded-up robust features (surf). Comput. Vis. Image Underst. 110(3), 346–359 (2008)CrossRef

Bazzani, L., Cristani, M., Murino, V.: Symmetry-driven accumulation of local features for human characterization and re-identification. Comput. Vis. Image Underst. 117(2), 130–144 (2013)

Bedagkar-Gala, A., Shah, S.: Multiple person re-identification using part based spatio-temporal color appearance model. In: Computational Methods for the Innovative Design of Electrical Devices’11, pp. 1721–1728 (2011)

Besl, P.J., McKay, N.: A method for registration of 3-d shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14, 239–256 (1992)CrossRef

Bowyer, K.W., Chang, K., Flynn, P.: A survey of approaches and challenges in 3d and multi-modal 3d + 2d face recognition. Comput. Vis. Image Underst. 101(1), 1–15 (2006)CrossRef

Bronstein, A.M., Bronstein, M.M., Kimmel, R.: Three-dimensional face recognition. Int. J. Comput. Vision 64, 5–30 (2005)CrossRef

Bronstein, A.M., Bronstein, M.M., Kimmel, R.: Topology-invariant similarity of nonrigid shapes. Int. J. Comput. Vision 81, 281–301 (2009)CrossRef

10.

Brunelli, R., Falavigna, D.: Person identification using multiple cues. IEEE Trans. Pattern Anal. Mach. Intell. 17(10), 955–966 (1995)CrossRef

11.

Cortes, C., Vapnik, V.N.: Support-vector networks. Machine Learning 20(3), 273–297 (1995)

12.

Dantone, M., Gall, J., Fanelli, G., Gool, L.V.: Real-time facial feature detection using conditional regression forests. In: IEEE Conference on Computer Vision and Pattern Recognition (2012)

13.

Gray, D., Tao, H.: Viewpoint invariant pedestrian recognition with an ensemble of localized features. In: European Conference on Computer Vision, vol. 5302, pp. 262–275 (2008)

14.

Hong, L., Jain, A., Pankanti, S.: Can multibiometrics improve performance? In: Proceedings IEEE Workshop on Automatic Identification Advanced Technologies, pp. 59–64 (1999)

15.

Jain, A.K., Dass, S.C., Nandakumar, K.: Can soft biometric traits assist user recognition? In: Proceedings of SPIE, Biometric Technology for Human Identification 5404, 561–572 (2004)

16.

Lee, S.U., Cho, Y.S., Kee, S.C., Kim, S.R.: Real-time facial feature detection for person identification system. In: Machine Vision and Applications, pp. 148–151 (2000)

17.

Leyvand, T., Meekhof, C., Wei, Y.C., Sun, J., Guo, B.: Kinect identity: Technology and experience. Computer 44(4), 94–96 (2011)CrossRef

18.

Li, W., Zhang, Z., Liu, Z.: Action recognition based on a bag of 3d points. In: IEEE International Workshop on CVPR for Human Communicative Behavior Analysis (in conjunction with CVPR 2010), San Francisco (2010)

19.

Ober, D., Neugebauer, S., Sallee, P.: Training and feature-reduction techniques for human identification using anthropometry. In: Fourth IEEE International Conference on Biometrics: Theory Applications and Systems (BTAS), pp. 1–8 (2010)

20.

Ofli, F., Chaudhry, R., Kurillo, G., Vidal, R., Bajcsy, R.: A comprehensive multimodal human action database. In: Proceeding of the IEEE Workshop on Applications on Computer Vision (2013)

21.

Preis, J., Kessel, M., Werner, M., Linnhoff-Popien, C.: Gait recognition with kinect. In: Proceedings of the First Workshop on Kinect in Pervasive Computing (2012)

22.

Ross, A., Jain, A.: Information fusion in biometrics. Pattern Recogn. Lett. 24, 2115–2125 (2003)CrossRef

23.

Satta, R., Pala, F., Fumera, G., Roli, F.: Real-time appearance-based person re-identification over multiple Kinect cameras. In: VisApp (2013)

24.

Shotton, J., Fitzgibbon, A.W., Cook, M., Sharp, T., Finocchio, M., Moore, R., Kipman, A., Blake, A.: Real-time human pose recognition in parts from single depth images. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1297–1304 (2011)

25.

Sung, J., Ponce, C., Selman, B., Saxena, A.: Unstructured human activity detection from rgbd images. In: International Conference on Robotics and Automation (2012)

26.

Velardo, C., Dugelay, J.L.: Improving identification by pruning: A case study on face recognition and body soft biometric. In: International Workshop on Image and Audio Analysis for Multimedia Interactive Services, pp. 1–4 (2012)

27.

Viola, P.A., Jones, M.J.: Robust real-time face detection. In: International Conference on Computer Vision, p. 747 (2001)

28.

Wagner, A., Wright, J., Ganesh, A., Zhou, Z., Ma, Y.: Towards a practical face recognition system: Robust registration and illumination by sparse representation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 597–604 (2009)

29.

Wang, S., Lewandowski, M., Annesley, J., Orwell, J.: Re-identification of pedestrians with variable occlusion and scale. In: International Conference on Computer Vision Workshops, pp. 1876–1882 (2011)

30.

Wang, J., Liu, Z., Wu, Y., Yuan, J.: Mining actionlet ensemble for action recognition with depth cameras. In: IEEE Conference on Computer Vision and Pattern Recognition (2012)

31.

Wang, C., Zhang, J., Pu, J., Yuan, X., Wang, L.: Chrono-gait image: A novel temporal template for gait recognition. In: Proceedings of the 11th European Conference on Computer Vision, pp. 257–270 (2010)

32.

Wolf, C., Mille, J., Lombardi, E., Celiktutan, O., Jiu, M., Baccouche, M., Dellandrea, E., Bichot, C.E., Garcia, C., Sankur, B.: The liris human activities dataset and the icpr 2012 human activities recognition and localization competition. Tech. Rep. RR-LIRIS-2012-004 (2012)

33.

Zhang, H., Parker, L.E.: 4-dimensional local spatio-temporal features for human activity recognition. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2044–2049 (2011)

34.

Zhao, W., Chellappa, R., Phillips, P.J., Rosenfeld, A.: Face recognition: A literature survey. ACM Comput. Surv. 35(4), 399–458 (2003)CrossRef

35.

Zhu, P., Zhang, L., Hu, Q., Shiu, S.: Multi-scale patch based collaborative representation for face recognition with margin distribution optimization. In: European Conference on Computer Vision, pp. 822–835 (2012)

Title: One-Shot Person Re-identification with a Consumer Depth Camera
Authors: Matteo Munaro
Andrea Fossati
Alberto Basso
Emanuele Menegatti
Luc Van Gool
Publisher: Springer London
Book: Person Re-Identification
Print ISBN: 978-1-4471-6295-7

Electronic ISBN: 978-1-4471-6296-4

Copyright Year: 2014
DOI: https://doi.org/10.1007/978-1-4471-6296-4_8

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