Abstract
In this paper, we propose a very reliable and flexible method for self-calibrating rotating and zooming cameras - generally referred to as PTZ (Pan-Tilt-Zoom) cameras. The proposed method employs a Linear Matrix Inequality (LMI) resolution approach and allows extra tunable constraints on the intrinsic parameters to be taken into account during the process of estimating these parameters. Furthermore, the considered constraints are simultaneously enforced in all views rather than in a single reference view. The results of our experiments show that the proposed approach allows for significant improvement in terms of accuracy and robustness when compared against state of the art methods.
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References
Lalonde, M., Foucher, S., Gagnon, L., Pronovost, E., Derenne, M., Janelle, A.: A system to automatically track humans and vehicles with a ptz camera. In: Proc. SPIE, vol. 6575, p. 657502 (2007)
Sinha, S.N., Pollefeys, M.: Pan–tilt–zoom camera calibration and high-resolution mosaic generation. Computer Vision and Image Understanding 103, 170–183 (2006)
Tanawongsuwan, R., Stoytchev, A., Essa, I.A.: Robust tracking of people by a mobile robotic agent (1999)
Zhang, Z.: A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 1330–1334 (2000)
Sturm, P.: Self-calibration of a moving zoom-lens camera by pre-calibration. Image and Vision Computing 15, 583–589 (1997)
Faugeras, O., Luong, Q.T., Maybank, S.: Camera Self-Calibration: Theory and Experiments. In: Sandini, G. (ed.) ECCV 1992. LNCS, vol. 588, pp. 321–334. Springer, Heidelberg (1992)
Agapito, L., Hayman, E., Reid, I.: Self-calibration of rotating and zooming cameras. International Journal of Computer Vision 45, 107–127 (2001)
Boyd, S., El Ghaoui, L., Feron, E., Balakrishnan, V.: Linear Matrix Inequalities in System and Control Theory. Studies in Applied Mathematics, vol. 15. SIAM, Philadelphia (1994)
Du, F., Brady, M.: Self-calibration of the intrinsic parameters of cameras for active vision systems. In: Proceedings of the IEEE Computer Society Conference on CVPR 1993, pp. 477–482. IEEE (1993)
Basu, A.: Active calibration: Alternative strategy and analysis. In: Proceedings CVPR 1993, pp. 495–500. IEEE (1993)
Hartley, R.I.: Self-calibration of stationary cameras. International Journal of Computer Vision 22, 5–23 (1997)
Stein, G.P.: Accurate internal camera calibration using rotation, with analysis of sources of error. In: ICCV, pp. 230–236. IEEE (1995)
Ji, Q., Dai, S.: Self-calibration of a rotating camera with a translational offset. IEEE Transactions on Robotics and Automation 20, 1–14 (2004)
Li, H., Shen, C.: An lmi approach for reliable ptz camera self-calibration. In: Proceedings of the IEEE International Conference on Video and Signal Based Surveillance, AVSS 2006. IEEE Computer Society, Washington, DC (2006)
Agrawal, M., Davis, L.S.: Camera calibration using spheres: A semi-definite programming approach. In: IEEE International Conference on Computer Vision, vol. 2 (2003)
Agrawal, M.: On automatic determination of varying focal lengths using semidefinite programming. In: Proceedings IEEE International Conference on Image Processing, Singapore (2004)
Willson, R., Shafer, S.: What is the center of the image? Journal of the Optical Society of America A 11, 2946–2955 (1994)
Hartley, R.I., Kaucic, R.: Sensitivity of Calibration to Principal Point Position. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002, Part II. LNCS, vol. 2351, pp. 433–446. Springer, Heidelberg (2002)
Bouguet, J.Y.: Camera calibration toolbox for Matlab (2008)
John, B., Henry, A.: Issues on the geometry of central catadioptric image formation. In: CVPR, pp. 422–427 (2001)
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Rameau, F., Habed, A., Demonceaux, C., Sidibé, D., Fofi, D. (2013). Self-calibration of a PTZ Camera Using New LMI Constraints. In: Lee, K.M., Matsushita, Y., Rehg, J.M., Hu, Z. (eds) Computer Vision – ACCV 2012. ACCV 2012. Lecture Notes in Computer Science, vol 7727. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37447-0_23
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DOI: https://doi.org/10.1007/978-3-642-37447-0_23
Publisher Name: Springer, Berlin, Heidelberg
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