Abstract
Applications such as traffic surveillance require a real-time and accurate method for object tracking. We propose to represent scene observations with parabola segments with an algorithm that allows us to fit parabola segments in real-time to edge pixels. The motion vectors for these parabola segments are obtained in consecutive frames by a matching technique based on distance and intensity. Furthermore, moving rigid objects are detected by an original method that clusters comparable motion vectors. The result is a robust detection and tracking method, which can cope with small changes in viewpoint on the moving rigid object.
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Deboeverie, F., Teelen, K., Veelaert, P., Philips, W. (2009). Vehicle Tracking Using Geometric Features. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2009. Lecture Notes in Computer Science, vol 5807. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04697-1_47
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DOI: https://doi.org/10.1007/978-3-642-04697-1_47
Publisher Name: Springer, Berlin, Heidelberg
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