Abstract
The paper proposes an abnormal event detection approach based on intelligent video content analysis, and applies it to ATM video forensics analysis. It aims at the surveillance video of payee’s abnormal behaviors, based on the advantage combined the weighted geometric characterization with the PCA method, and discusses a new algorithm, namely improved PCA algorithm. This algorithm in the ATM can detect abnormal event under the influence of obstruction, such as hat, and the light. Experimental results show that the above approach is proved to be effective and robust in real videos event analysis.
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References
Kim, Y., Lee, H.S., Morales, A.W.: A video camera system with enhanced zoom tracking and auto white balance. IEEE Trans. Consumer Electron 48, 428–434 (2002)
Deng, W., Wang, J.A.: Design and implement of the Computer image detect system. Application Research of Computers, 79–80 (2000)
Nusimow, A.: Intelligent Video for Homeland Security Applications. In: Proc. of the 7th Technologies for Homeland Security, Boston, pp. 139–144 (2007)
Weng, C.-C., Chen, H., Fuh, C.-S.: A Novel Automatic White Balance Method For Digital Still Cameras. IEEE Trans. Consumer Electron
Samal, A.: Automatic Recognition and Analysis of Human Faces and Facial Expressions. Pattern Recognition 25(1), 65–77 (1992)
Wang, H.M., Ou, Z.Y.: The face recognition of PCA/ICA feature and SVM classification. Aid Design and Graphics of Computers (04), 411–414 (2003), National Center for Biotechnology Information, http://www.ncbi.nlm.nih.gov
Long, F., Ye, X.Y., Li, B., et al.: Gabor feature describe approach and the face recognition based on blocking statistic. Pattern Recognition and Artificial Intelligence 19(5), 585–589 (2006)
Duan, X., Zhang, X.L.: The face recognition method of a symmetry spread matrices space. Application Research of Computers 19(5), 1557–1559 (2010)
Zheng, D.Z., Cui, F.Y.: The face recognition of the wpfun feature extract and variance similarity. Optical Technology 36(2), 2178–2224 (2010)
Mahoor, M.H., Abdel-Mottaleb, M.: A Multimodal Approach for Face Modeling and Recognition. IEEE Transactions on Information Forensics and Security 3(3), 431–440 (2008)
Su, Y., Shan, S., Chen, X.: Hierarchical Ensemble of Global and Local Classifiers for Face Recognition. IEEE Transactions on Image Processing 5, 18(8), 1885–1896 (2005)
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Yi, M. (2011). Abnormal Event Detection Method for ATM Video and Its Application. In: Lin, S., Huang, X. (eds) Advanced Research on Computer Education, Simulation and Modeling. CESM 2011. Communications in Computer and Information Science, vol 176. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21802-6_30
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DOI: https://doi.org/10.1007/978-3-642-21802-6_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21801-9
Online ISBN: 978-3-642-21802-6
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