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2019 | OriginalPaper | Chapter

A Short-Term Biometric Based System for Accurate Personalized Tracking

Authors: Georgios Stavropoulos, Nikolaos Dimitriou, Anastasios Drosou, Dimitrios Tzovaras

Published in: Computer Vision Systems

Publisher: Springer International Publishing

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Abstract

Surveillance systems have long been in the focus of the research community. Although the accurate detection of the human presence in the scene is now possible even under extreme environmental conditions via the advanced modern camera sensors, efficient personalized tracking is still an open issue and a significant challenge for researchers addressing. Moreover, personalized tracking will not only enhance the tracking robustness but it can also find useful application in several commercial surveillance use-cases, ranging from security to occupancy statistics (i.e. per building, per space and per human). In this respect, this paper introduces a novel the biometric approach for enhanced privacy preserving human tracking based on a novel soft-biometric feature of humans. The moving blobs in the recorded scene can be easily detected in the colour images, while the human silhouettes are detected from the corresponding depth ones. The state-of-the-art 3D Weighted Walkthroughs (3DWW) transformation is applied on the extracted human 3D point cloud, forming thus, a short-term soft biometric signature. The re-authentication of the humans is performed via the comparison of their last valid signature with current one. A thorough analysis on the adjustment of the system’s optimal operational settings has been carried out and the experimental results illustrate the promising robustness, accuracy and efficiency on human tracking performance.
Literature
1.
go back to reference Yun, Y., Song, C., Katsaggelos, A.K., Yanwei, L., Yi, Q.: Wireless video surveillance: a survey. IEEE Access 1, 646–660 (2013) CrossRef Yun, Y., Song, C., Katsaggelos, A.K., Yanwei, L., Yi, Q.: Wireless video surveillance: a survey. IEEE Access 1, 646–660 (2013) CrossRef
2.
go back to reference Berretti, S., Bimbo, A.D., International Continence Society, Pala, P.: 3D Face recognition using isogeodesic stripes. IEEE Trans. Pattern Anal. Mach. Intell. 32(12), 2162–2177 (2010) CrossRef Berretti, S., Bimbo, A.D., International Continence Society, Pala, P.: 3D Face recognition using isogeodesic stripes. IEEE Trans. Pattern Anal. Mach. Intell. 32(12), 2162–2177 (2010) CrossRef
3.
go back to reference Beymer, D.: Person counting using stereo. In: Workshop on Human Motion, pp. 127–133 (2000) Beymer, D.: Person counting using stereo. In: Workshop on Human Motion, pp. 127–133 (2000)
4.
go back to reference Black, J., Ellis, T., Rosin, P.: Multi-view image surveillance and tracking. In: IEEE Workshop on Motion and Video Computing (2002) Black, J., Ellis, T., Rosin, P.: Multi-view image surveillance and tracking. In: IEEE Workshop on Motion and Video Computing (2002)
5.
go back to reference Comaniciu, D., Ramesh, V., Meer, P.: Kernel-based object tracking. IEEE Trans. Pattern Anal. Mach. Intell. 5, 564–575 (2003) CrossRef Comaniciu, D., Ramesh, V., Meer, P.: Kernel-based object tracking. IEEE Trans. Pattern Anal. Mach. Intell. 5, 564–575 (2003) CrossRef
6.
go back to reference Fleuret, F., Berclaz, J., Lengagne, R., Fua, P.: Multicamera people tracking with a probabilistic occupancy map. IEEE Trans. Pattern Anal. Mach. Intell. 30(2), 267–282 (2008) CrossRef Fleuret, F., Berclaz, J., Lengagne, R., Fua, P.: Multicamera people tracking with a probabilistic occupancy map. IEEE Trans. Pattern Anal. Mach. Intell. 30(2), 267–282 (2008) CrossRef
7.
go back to reference Focken, D., Stiefelhagen, R.: Towards vision-based 3D people tracking in a smart room. In: IEEE International Conference on Multimodal Interfaces (2002) Focken, D., Stiefelhagen, R.: Towards vision-based 3D people tracking in a smart room. In: IEEE International Conference on Multimodal Interfaces (2002)
8.
go back to reference Drosou, A., Tzovaras, D., Moustakas, K., Petrou, M.: Systematic error analysis for the enhancement of biometric systems using soft biometrics. IEEE Sig. Process. Lett. 19(12), 833–836 (2012) CrossRef Drosou, A., Tzovaras, D., Moustakas, K., Petrou, M.: Systematic error analysis for the enhancement of biometric systems using soft biometrics. IEEE Sig. Process. Lett. 19(12), 833–836 (2012) CrossRef
9.
go back to reference Drosou, A., Ioannidis, D., Tzovaras, D., Moustakas, K., Petrou, M.: Activity related authentication using prehension biometrics. Pattern Recogn. 48(5), 1743–1759 (2015) CrossRef Drosou, A., Ioannidis, D., Tzovaras, D., Moustakas, K., Petrou, M.: Activity related authentication using prehension biometrics. Pattern Recogn. 48(5), 1743–1759 (2015) CrossRef
10.
go back to reference Xu, X., Tang, J., Liu, X., Zhang, X.: Human behavior understanding for video surveillance: recent advance. In: 2010 IEEE International Conference in Systems Man and Cybernetics (SMC), pp. 3867–3873 (2010) Xu, X., Tang, J., Liu, X., Zhang, X.: Human behavior understanding for video surveillance: recent advance. In: 2010 IEEE International Conference in Systems Man and Cybernetics (SMC), pp. 3867–3873 (2010)
11.
go back to reference Jia, X., Lu, H., Yang, M.: Visual tracking via adaptive structural local sparse appearance model. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1822–1829 (2012) Jia, X., Lu, H., Yang, M.: Visual tracking via adaptive structural local sparse appearance model. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1822–1829 (2012)
12.
go back to reference Kang, J., Cohen, I., Medioni, G.: Tracking people in crowded scenes across multiple cameras. In: Proceedings of Asian Conference on Computer Vision (2004) Kang, J., Cohen, I., Medioni, G.: Tracking people in crowded scenes across multiple cameras. In: Proceedings of Asian Conference on Computer Vision (2004)
13.
go back to reference Mikic, I., Santini, S., Jain, R.: Video processing and integration from multiple cameras. In: Image Understanding Workshop (1998) Mikic, I., Santini, S., Jain, R.: Video processing and integration from multiple cameras. In: Image Understanding Workshop (1998)
14.
go back to reference Mittal, A., Davis, L.: M2Tracker: a multi-view approach to segmenting and tracking people in a cluttered scene. Int. J. Comput. Vis. 51(3), 189–203 (2003) CrossRef Mittal, A., Davis, L.: M2Tracker: a multi-view approach to segmenting and tracking people in a cluttered scene. Int. J. Comput. Vis. 51(3), 189–203 (2003) CrossRef
15.
go back to reference Otsuka, K., Mukawa, N.: Multi-view occlusion analysis for tracking densely populated objects based on 2D visual angles. In: Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR) (2004) Otsuka, K., Mukawa, N.: Multi-view occlusion analysis for tracking densely populated objects based on 2D visual angles. In: Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR) (2004)
16.
go back to reference Salih, Y., Malik, A.: 3D tracking using particle filters. In: Proceedings of IEEE Instrumentation and Measurement Technology Conference (I2MTC), pp. 1–4 (2011) Salih, Y., Malik, A.: 3D tracking using particle filters. In: Proceedings of IEEE Instrumentation and Measurement Technology Conference (I2MTC), pp. 1–4 (2011)
17.
go back to reference Yang, D., Gonzales-Banos, H., Guibas, L.: Counting people in crowds with a real-time network of simple image sensors. In: International Conference on Computer Vision, pp. 122–129 (2003) Yang, D., Gonzales-Banos, H., Guibas, L.: Counting people in crowds with a real-time network of simple image sensors. In: International Conference on Computer Vision, pp. 122–129 (2003)
18.
go back to reference Krinidis, S., Stavropoulos, G., Ioannidis, D., Tzovaras, D.: A robust and real-time multi-space occupancy extraction system exploiting privacy-preserving sensors. In: International Symposium on Communications, Control and Signal Processing (2014) Krinidis, S., Stavropoulos, G., Ioannidis, D., Tzovaras, D.: A robust and real-time multi-space occupancy extraction system exploiting privacy-preserving sensors. In: International Symposium on Communications, Control and Signal Processing (2014)
19.
go back to reference De Silva, L.: Audiovisual sensing of human movements for home-care and security in a smart environment. Int. J. Smart Sens. Intell. Syst. 1, 220–245 (2008) De Silva, L.: Audiovisual sensing of human movements for home-care and security in a smart environment. Int. J. Smart Sens. Intell. Syst. 1, 220–245 (2008)
Metadata
Title
A Short-Term Biometric Based System for Accurate Personalized Tracking
Authors
Georgios Stavropoulos
Nikolaos Dimitriou
Anastasios Drosou
Dimitrios Tzovaras
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-34995-0_50

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