Abstract
Detection of moving objects in video sequences is the first relevant step of information extraction in many computer vision applications. The undesired background image can be filtered out and the complete foreground image can be retained. By doing this, it provides a focus for tracking, recognition, classification, and activity analysis, making these later steps more efficient. In this paper, we build an adaptive background model using a self-organizing neural network; this model can handle scenes containing moving backgrounds, gradual illumination variations, and shadows cast by moving objects; further, this model has no bootstrapping limitation. However, background subtraction leads to a serious camouflage problem. Owing to this phenomenon, we propose a foreground-region-selection algorithm that combines the image space information and initial object mask generated from improved watershed algorithm and background subtraction respectively. The camouflage problem can be effectively solved using the proposed algorithm. The detection results of the proposed algorithm are better than the background subtraction results obtained from the experiments.
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References
Mahmoud, M., Shi, P.: Methodologies for Control of Jump Time-delay Systems. Kluwer Academic Publishers, Boston (2003)
Shi, P.: Limited Hamilton-Jacobi-Isaacs equations for singularly perturbed zero-sum dynamic (discrete time) games. SIAM J. Control and Optimization 41(3), 826–850 (2002)
Nguang, S.K., Shi, P.: Fuzzy H-infinity output feedback control of nonlinear systems under sampled measurements. Automatica 39(12), 2169–2174 (2003)
Boukas, E.K., Liu, Z., Shi, P.: Delay-dependent stability and output feedback stabilization of Markov jump systems with time-delay. IEE-Part D, Control Theory and Applications 149(5), 379–386 (2002)
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© 2014 Springer-Verlag Berlin Heidelberg
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Wang, N.J., Chang, Y.C., Kuo, Y.H. (2014). Foreground-Region-Selection Algorithm for Detecting Moving Objects in Dynamic Background. In: Park, J., Pan, Y., Kim, CS., Yang, Y. (eds) Future Information Technology. Lecture Notes in Electrical Engineering, vol 309. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55038-6_98
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DOI: https://doi.org/10.1007/978-3-642-55038-6_98
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-55037-9
Online ISBN: 978-3-642-55038-6
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