Abstract
A method for human action recognition in surveillance systems is described. Problems within this task are discussed and a solution based on 3D object models is proposed. The idea is shown and some of its limitations are talked over. Shape description methods are introduced along with their main features. Utilized parameterization algorithm is presented. Classification problem, restricted to bi-nary cases is discussed. Support vector machine classifier scores are shown and additional step for improving classification is introduced. Obtained results are dis-cussed and further research directions are discussed.
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Ellwart, D., Czyżewski, A. (2010). Camera Angle Invariant Shape Recognition in Surveillance Systems. In: Tsihrintzis, G.A., Damiani, E., Virvou, M., Howlett, R.J., Jain, L.C. (eds) Intelligent Interactive Multimedia Systems and Services. Smart Innovation, Systems and Technologies, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14619-0_4
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DOI: https://doi.org/10.1007/978-3-642-14619-0_4
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