Abstract
In this paper, we suggest an intelligent surveillance system that detects an intruder, using images received in real-time, and offer accurate and adaptive alarm services based on context-aware technology. A surveillance system, based on only image processing, may detect a target other than an intruder as a moving object, providing users unnecessary information. In addition, face recognition may not be accurate or possible. Therefore, we designed a system that detects an intruder through context information such as positions of a camera, directions of movement, time, space and so on, as well as image processing so as to offer adaptive alarm services.
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References
Moncrieff, S., Venkatesh, S., West, G.A.W.: Dynamic Privacy in Public Surveillance, vol. 42, pp. 22–28. IEEE Computer Society, Los Alamitos (2009)
Gorelick, L., Blank, M., Shechtman, E., Irani, M., Basri, R.: Actions as Space-Time Shapes. IEEE Trans. on Pattern Analysis and Machine Intelligence 29(12), 2247–2253 (2007)
Hariataoglu, I., Harwood, D., Davis, L.S.: W4: A real time surveillance of people and their activities. Proc. IEEE Trans. on Pattern Analysis and Machine Intelligence 22(8), 809–830 (2000)
Stauffer, C., Grimson, W.E.L.: Adaptive background mixture models for real-time tracking. In: Proc. of the IEEE International Conference on Computer Vision and Pattern Recognition, pp. 246–252 (1999)
Stein, A.N., Herbert, M.: Local Detection of Occlusion Boundaries in Video. Image and Vision Computing 27(5), 514–522 (2009)
Kim, S.H.: A Novel Approach to Moving Edge Detection Using Cross Entropy. In: GVIP 2005 Conference, pp. 418–421 (2005)
Piccardi, M.: Background subtraction techniques: a review. In: IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 3099–3104 (2004)
Lee, W.B.: A Attendance-Absence Checking System using the Self-organizing Face Recognition. The Journal of the Korea Contents Association 10(3), 72–79 (2010)
Hwang, B.W., Lee, S.W.: Reconstruction of Partially Damaged Face Images Based on a Morphable Face Model. IEEE Trans. on Pattern Analysis and Machine Intelligence 25(3), 365–372 (2003)
Yang, J., Zhang, D., Frangi, A.F., Yang, J.: Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition. IEEE Trans on Pattern Analysis and Machine Intelligence 26(1), 131–137 (2004)
Noy, N.F., Hafner, C.D.: The State of the Art in Ontology Design: A Survey and Comparative Review. AI Magazine 18(3), 53–74 (1997)
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Lim, Jh., Kim, S. (2011). Context-Aware Based Intelligent Surveillance System for Adaptive Alarm Services. In: Balasubramaniam, P. (eds) Control, Computation and Information Systems. ICLICC 2011. Communications in Computer and Information Science, vol 140. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19263-0_32
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DOI: https://doi.org/10.1007/978-3-642-19263-0_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19262-3
Online ISBN: 978-3-642-19263-0
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