Abstract
A new space-mapping method for object location estimation which is adaptive to camera setup changes in various applications is proposed. The location of an object appearing in an image is estimated by mapping image coordinates of object points to corresponding real-world coordinates using a mapping table, which is constructed in two stages, with the first for establishing a basic table using bilinear interpolation and the second for adapting it to changes of camera heights and orientations. Analytic equations for such adaptation are derived based on image formation and camera geometry properties. Good experimental results are shown to prove the feasibility of the proposed method.
This work was supported financially by the Ministry of Economic Affairs under Project No. MOEA 97-EC-17-A-02-S1-032 in Technology Development Program for Academia.
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References
Chou, H.L., Tsai, W.H.: A new approach to robot location by house corners. Pattern Recognition 19(6), 439–451 (1986)
Betke, M., Gurvits, L.: Mobile robot localization using landmarks. IEEE Transactions on Robotics and Automation 13(2), 251–263 (1997)
Aider, O.A., Hoppenot, P., Colle, E.: A model-based method for indoor mobile robot localization using monocular vision and straight-line correspondences. Robotics and Autonomous Systems 52(2-3), 229–246 (2005)
Hemayed, E.E.: A survey of camera self-calibration. In: Proceedings of IEEE Conference on Advanced Video and Signal Based Surveillance, Miami, FL, USA, pp. 351–357 (2003)
Yang, Z.F., Tsai, W.H.: Viewing corridors as right parallelepipeds for vision-based vehicle localization. IEEE Trans. Industrial Electronics 46(3), 653–661 (1999)
Takeshita, T., Tomizawa, T., Ohya, A.: A house cleaning robot system – path indication and position estimation using ceiling camera. In: Proceedings of International Joint Conference on SICE-ICASE, Busan, Korea, pp. 2653–2656 (2006)
Wang, Y.T., Tsai, W.H.: Indoor security patrolling with intruding person detection and following capabilities by vision-based autonomous vehicle navigation. In: Proceedings of 2006 International Computer Symposium (ICS 2006), Taipei, Taiwan (2006)
Jeng, S.W., Tsai, W.H.: Using pano-mapping tables to unwarping of omni-images into panoramic and perspective-view Images. IET Image Pro. 1(2), 149–155 (2007)
Chen, H.C., Tsai, W.H.: Optimal security patrolling by multiple vision-based autonomous vehicles with omni-monitoring from the ceiling. In: Proceedings of 2008 International Computer Symposium, Taipei, Taiwan (2008)
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Wu, CJ., Tsai, WH. (2009). Adaptation of Space-Mapping Methods for Object Location Estimation to Camera Setup Changes — A New Study. In: Velásquez, J.D., Ríos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5712. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04592-9_50
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DOI: https://doi.org/10.1007/978-3-642-04592-9_50
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