Abstract
The growing concerns about persons security and the increasing popularity of pan-tilt-zoom (PTZ) cameras, have been raising the interest on automated master-slave surveillance systems. Such systems are typically composed by (1) a fixed wide-angle camera that covers a large area, detects and tracks moving objects in the scene; and (2) a PTZ camera, that provides a close-up view of an object of interest. Previously published approaches attempted to establish 2D correspondences between the video streams of both cameras, which is a ill-posed formulation due to the absence of depth information. On the other side, 3D-based approaches are more accurate but require more than one fixed camera to estimate depth information. In this paper, we describe a novel method for easy and precise calibration of a master-slave surveillance system, composed by a single fixed wide-angle camera. Our method exploits single view metrology to infer 3D data of the tracked humans and to self-perform the transformation between camera views. Experimental results in both simulated and realistic scenes point for the effectiveness of the proposed model in comparison with the state-of-the-art.
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References
Valera, M., Valestin, S.A.: Intelligence distributed surveillance systems: a review. IEE Proc. Vis. Image Sig. Proc. 152(2), 192–204 (2005)
Xu, Y., Song, D.: Systems and algorithms for autonomous and scalable crowd surveillance using robotic ptz cameras assisted by a wide-angle camera. Auton. Robots 29(1), 53–66 (2010)
Kannala, J., Brandt, S.S.: A generic camera model and calibration method for conventional wide-angle, and fish-eye lenses. IEEE Trans. Pattern Anal. Mach. Intell. 28(8), 1335–1340 (2006)
Wang, J., Shi, F., Zhang, J., Liu, Y.: A new calibration model of camera lens distortion. Pattern Recogn. 41(2), 607–615 (2008)
Sinha, S.N., Pollefeys, M.: Pan-tilt-zoom camera calibration and high-resolution mosaic generation. Comput. Vis. Image Underst. 103(3), 170–183 (2006)
Wu, Z., Radke, R.J.: Keeping a pan-tilt-zoom camera calibrated. Image Vis. Comput. 35(8), 1994–2007 (2013)
Del Bimbo, A., Dini, F., Lisanti, G., Percini, F.: Exploiting distinctive visual landmark maps in pan-tilt-zoom camera networks. Comput. Vis. Image Underst. 114(6), 611–623 (2010)
Hampapur, A., Pankanti, S., Senior, A., Tian, Y.-L., Brown, L., Bolle, R.: Face cataloger: multi-scale imaging for relating identity to location. In: Proceedings of the IEEE Conference on Advance Video and Signal Based Surveillance, pp. 13–20, Miami, USA (2003)
Chen, C.-H., Yao, Y., Page, D., Abidi, B., Koschan, A., Abidi, M.: Heterogeneous fusion of omnidirectional and ptz cameras for multiple object tracking. IEEE Trans. Circuits Syst. Video Technol. 18(8), 1052–1063 (2008)
Senior, A.W., Hampapur, A., Lu, M.: Acquiring multiscale images by pan-titl-zoom control and automatic multicamera calibration. In: Proceedings of the 7th IEEE Workshop on Application ofComputer Vision, vol.1, pp. 433–438, Breckenridge, USA (2005)
Zhou, X., Collins, R., Kanade, T., Metes, P.: A master-slave system to acquire biometric imagery of human at distance. In: Proceedings of the 1st ACM International Workshop on Video Surveillance, pp. 113–120, Berkeley, USA (2003)
You, L., Li, S., Jia, W.: Automatic weak calibration of master-slave surveillance system based on mosaic images. In: Proceedings of the 20th International Conference on Pattern Recognition, pp. 1824–1827, Istanbul, Turkey (2010)
Liu, Y., Lai, S., Zuo, S., Shi, H., Zhang, M.: A master-slave surveillance system to acquire panoramic and multiscale videos. Sci. World J. 2014, 11 (2014). Article ID 491549
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, New York, USA (2004)
Zhang, Z.: A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 22(11), 1330–1334 (2000)
Criminisi, A., Reid, I., Zisserman, A.: Single view metrology. Int. J. Comput. Vision 40(2), 123–148 (2000)
Wang, G., Hu, Z., Wu, F., Tsui, H.-T.: Single view metrology from scene constraints. Image Vis. Comput. 23(9), 831–840 (2005)
Schaffalitzky, F., Zisserman, A.: Planar grouping for automatic detection of vanishing lines and points. Image Vis. Comput. 18(9), 647–658 (2000)
Acknowledgements
This work is supported by ‘FCT - Fundação para a Ciência e Tecnologia’ (Portugal) through the research grant ‘SFRH/BD/92520/2013’, and the funding from ‘FEDER - QREN - Type 4.1 - Formação Avançada’, co-founded by the European Social Fund and by national funds through Portuguese ‘MEC - Ministério da Educação e Ciência’. It is also supported by the IT - Instituto de Telecomunicações through ‘PEst-OE/EEI/LA0008/2013’.
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Neves, J.C., Moreno, J.C., Barra, S., Proença, H. (2015). A Calibration Algorithm for Multi-camera Visual Surveillance Systems Based on Single-View Metrology. In: Paredes, R., Cardoso, J., Pardo, X. (eds) Pattern Recognition and Image Analysis. IbPRIA 2015. Lecture Notes in Computer Science(), vol 9117. Springer, Cham. https://doi.org/10.1007/978-3-319-19390-8_62
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DOI: https://doi.org/10.1007/978-3-319-19390-8_62
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