Abstract
We present a system to determine ground-plane parameters in densely crowded scenes where use of geometric features such as parallel lines or reliable estimates of agent dimensions are not possible. Using feature points tracked over short intervals, together with some plausible scene assumptions, we can estimate the parameters of the ground-plane to a sufficient degree of accuracy to correct usefully for perspective distortion. This paper describes feasibility studies conducted on controlled, simulated data, to establish how different levels and types of noise affect the accuracy of the estimation, and a verification of the approach on live data, showing the method can estimate ground-plane parameters, thus allowing improved accuracy of trajectory analysis.
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Hales, I., Hogg, D., Ng, K., Boyle, R. (2013). Automated Ground-Plane Estimation for Trajectory Rectification. In: Wilson, R., Hancock, E., Bors, A., Smith, W. (eds) Computer Analysis of Images and Patterns. CAIP 2013. Lecture Notes in Computer Science, vol 8048. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40246-3_47
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DOI: https://doi.org/10.1007/978-3-642-40246-3_47
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