Abstract
In this paper, an algorithm for moving region detection in compressed video is developed. It is assumed that the video can be compressed either using the Discrete Cosine Transform (DCT) or the Wavelet Transform (WT). The method estimates the WT of the background scene from the WTs of the past image frames of the video. The WT of the current image is compared with the WT of the background and the moving objects are determined from the difference. The algorithm does not perform inverse WT to obtain the actual pixels of the current image nor the estimated background. In the case of DCT compressed video, the DC values of 8 by 8 image blocks of Y, U and V channels are used for estimating the background scene. This leads to a computationally efficient method and a system compared to the existing motion detection methods.
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References
Foresti, G.L., Mahonen, P., Regazzoni, C.S.: Multimedia video-based surveillance systems: Requirements, issues, and solutions. Kluwer, Dordrecht (2000)
Collins, R.T., Lipton, A.J., Kanade, T., Fujiyoshi, H., Duggins, D., Tsin, Y., Tolliver, D., Enomoto, N., Hasegawa, O., Burt, P., Wixson, L.: A system for video surveillance and monitoring: VSAM final report. Tech. Rept., CMU-RI-TR-00- 12, Carnegie Mellon University (1998)
Ozer, I.B., Wolf, W.: A hierarchical human detection system in (un)compressed domains. IEEE Transactions on Multimedia, 283–300 (2002)
Haritaoglu, I., Harwood, D., Davis, L.: W4: Who, when, where, what: A real time system for detecting and tracking people. In: Third Face and Gesture Recognition Conference, pp. 222–227 (1998)
Bagci, M., Yardimci, Y., Cetin, A.E.: Moving object detection using adaptive subband decomposition and fractional lower order statistics in video sequences. In: Signal Processing, pp. 1941–1947. Elsevier, Amsterdam (2002)
Naoi, S., Egawa, H., Shiohara, M.: Image processing apparatus. U.S. Patent 6,141,435 (2000)
Taniguchi, Y.: Moving object detection apparatus and method. U.S Patent 5,991,428 (1999)
Stauffer, C., Grimson, W.E.L.: Adaptive background mixture models for real-time tracking. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 246–252 (1999)
Antonini, M., Barlaud, M., Mathieu, P., Daubechies, I.: Image coding using wavelet transform. IEEE Transactions on Image Processing 1(2), 205–220 (1992)
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© 2004 Springer-Verlag Berlin Heidelberg
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Töreyin, B.U., Cetin, A.E., Aksay, A., Akhan, M.B. (2004). Moving Region Detection in Compressed Video. In: Aykanat, C., Dayar, T., Körpeoğlu, İ. (eds) Computer and Information Sciences - ISCIS 2004. ISCIS 2004. Lecture Notes in Computer Science, vol 3280. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30182-0_39
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DOI: https://doi.org/10.1007/978-3-540-30182-0_39
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