Ball's Motion Estimation Using a Line-Scan Camera

Zhao, Zhuxin; Wen, Gongjian

doi:10.2478/v10048-011-0034-x

Abstract

An original method is proposed for estimating the position and velocity of a moving ball using a single line-scan camera. The method consists of two steps: firstly, the ball's initial position and velocity are determined by several key points in the image, and secondly, these parameters are further refined by a model-based optimization algorithm. The algorithm achieves accurate parameter estimation by matching the projection contour of the real ball and that of the same size sphere model. Finally, the relevance and accuracy of the method are experimentally confirmed on synthetic and real images.

References

Ren, J., Orwell, J., Jones, G. A., Xu, M. (2009). Tracking the soccer ball using multiple fixed cameras. Computer Vision and Image Understanding, 113 (5), 633-642.10.1016/j.cviu.2008.01.007
Search in Google Scholar
Boracchi, G., Caglioti, V., Giusti, A. (2008). Single image 3D reconstruction of ball velocity and spin from motion blur. In The 3rd International Conference on Computer Vision Theory and Applications, 22 January 2008. Funchal, Madeira, Portugal: INSTICC, 22-29.
Search in Google Scholar
Caglioti, V., Giusti, A. (2009). Recovering ball motion from a single motion-blurred image. Computer Vision and Image Understanding, 113 (5), 590-597.10.1016/j.cviu.2008.01.008
Search in Google Scholar
Boracchi, G., Caglioti, V., Giusti, A. (2007). Ball position and motion reconstruction from blur in a single perspective image. In The 14th International Conference on Image Analysis and Processing, 10-13 September 2007. Modena, Italy: Univ. of Modena and Reggio Emilia, 87-92.10.1109/ICIAP.2007.4362762
Search in Google Scholar
Caglioti, V., Giusti, A. (2010). On the apparent transparency of a motion blurred object. International Journal of Computer Vision, 86 (2), 243-255.10.1007/s11263-008-0165-1
Search in Google Scholar
Lim, M., Limb, J. (2008). Visual measurement of pile movements for the foundation work using a high-speed line-scan camera. Pattern Recognition, 41 (6), 2025-2033.10.1016/j.patcog.2007.10.025
Search in Google Scholar
Nayyerloo, M., Chen, X. Q. et al. (2010). Seismic structural displacement measurement using a high-speed line-scan camera: experimental validation. In New Zealand Society for Earthquake Engineering 2010 Conference, 26-28 March 2010. Wellington, New Zealand: NZSEE, 26-28.
Search in Google Scholar
Ai, L., Yuan, F., Ding, Z. (2008). Measurement of spatial object's exterior attitude based on linear CCD. Chinese Optics Letters, 6 (7), 505-509.10.1109/ICIEA.2008.4582859
Search in Google Scholar
Ji, E. B., Jin, W. K., Hang, J. K., Hyun, S. P. (2009). Estimation of 3-D trajectory of the golf ball using dual linear sensor. In The Fifth International Joint Conference on INC, IMS and IDC, 25-27 August 2009. Seoul, Korea: Institute of Electrical and Electronics Engineers, 2024-2030.
Search in Google Scholar
Luna, C. A., Mazo, M. et al. (2010). Calibration of line-scan cameras. IEEE Transactions on Instrumentation and Measurement, 59 (8), 2185-2190.10.1109/TIM.2009.2031344
Search in Google Scholar
Horaud, R., Mohr, R., Lorecki, B. (1993). On singlescanline camera calibration. IEEE Transactions on Robotics and Automation, 9 (1), 71-75.10.1109/70.210796
Search in Google Scholar
Zhao, Z., Zhang, X. et al. (2011). The estimation for position and velocity of moving ball from single linear array image. In International Conference on Soft Magnetic Materials, 23-24 May 2011. Male, Maldives: IITA, 183-187.10.4028/www.scientific.net/AMR.298.183
Search in Google Scholar
Chen, J. Y. et al. (2010). Development and implementation of a Simplified tool measuring system. Measurement Science Review, 10 (4), 142-146.10.2478/v10048-010-0020-8
Search in Google Scholar

Ball's Motion Estimation Using a Line-Scan Camera

Abstract

Paradigm

My account