Abstract
Optical tracking is a large field of research with countless sophisticated methods for a multitude of applications. However, there always exist tasks with special requirements and constraints that are not covered by traditional methods. This work presents a puzzle-based approach to tackle the problem of tracking all 6 degrees of freedom of a rigid object with few trackable features using a multi camera system. The presented algorithm capitalizes on non-sequential processing to assemble tracking information bit by bit. Validation shows that it achieves very high accuracy on real data.
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References
Schmid, S., Jiang, X., Schäfers, K.: High-precision lens distortion correction using smoothed thin plate splines. In: Wilson, R., Hancock, E., Bors, A., Smith, W. (eds.) CAIP 2013, Part II. LNCS, vol. 8048, pp. 432–439. Springer, Heidelberg (2013)
Walker, M.W., Shao, L., Volz, R.A.: Estimating 3-D Location Parameters Using Dual Number Quaternions. CVGIP: Image Underst. 54, 358–367 (1991)
Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press (2004)
Park, F.C., Ravani, B.: Bézier Curves on Riemannian Manifolds and Lie Groups with Kinematic Applications. Trans. ASME, Journal of Mechanical Design 117, 36–40 (1995)
Risse, B., Berh, D., Tao, J., Jiang, X.: Comparison of two 3D Tracking Paradigms for Freely Flying Insects. EURASIP Journal on Image and Video Processing 57 (2013)
Yilmaz, A., Javed, O., Shah, M.: Object Tracking: A Survey. ACM Comput. Surv. 38 (2006)
Schmid, S., Dawood, M., Frohwein, L., Jiang, X., Schäfers, K.P.: Camera-based high accuracy tracking system for freely moving mice inside the quadHIDAC pet scanner. In: Medical Imaging Conference, Anaheim, CA, USA (2012)
Caljon, T., Enescu, V., Schelkens, P., Sahli, H.: An offline bidirectional tracking scheme. In: Blanc-Talon, J., Philips, W., Popescu, D.C., Scheunders, P. (eds.) ACIVS 2005. LNCS, vol. 3708, pp. 587–594. Springer, Heidelberg (2005)
Jiang, X., Dawood, M., Gigengack, F., Risse, B., Schmid, S., Tenbrinck, D., Schäfers, K.: Biomedical imaging: a computer vision perspective. In: Wilson, R., Hancock, E., Bors, A., Smith, W. (eds.) CAIP 2013, Part I. LNCS, vol. 8047, pp. 1–19. Springer, Heidelberg (2013)
Smeulders, A.W.M., et al.: Visual Tracking: An Experimental Survey. IEEE Trans. on Pattern Analysis and Machine Intelligence 36, 1442–1468 (2014)
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Schmid, S., Jiang, X., Schäfers, K. (2015). Puzzle Approach to Pose Tracking of a Rigid Object in a Multi Camera System. In: Azzopardi, G., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2015. Lecture Notes in Computer Science(), vol 9256. Springer, Cham. https://doi.org/10.1007/978-3-319-23192-1_28
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DOI: https://doi.org/10.1007/978-3-319-23192-1_28
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