Abstract
In this paper, we propose an Appearance and Shape Constrained Active Basis Model (ASC-ABM) to detect vehicles in image. ASC-ABM effectively incorporates the appearance and shape prior of vehicles in the active basis model. Therefore, compared with the original ABM, it can effectively remove the false positives caused by the clutter background and traffic lines. Experiment results demonstrate the effectiveness of the proposed method.
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Liu, S., Pei, M. (2015). Vehicle Detection Using Appearance and Shape Constrained Active Basis Model. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9491. Springer, Cham. https://doi.org/10.1007/978-3-319-26555-1_48
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DOI: https://doi.org/10.1007/978-3-319-26555-1_48
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