Abstract
Considering the currently available methods for the motion analysis of video objects, we notice that the topological constraint on homogeneous motion is usually ignored in piecewise methods, or improperly imposed by blocks that do not have physical correspondence. In this paper we address the idea of area-based parametric motion estimation with spatial constraint involved, in order that the semantic segmentation and tracking of non-rigid object can be undertaken in interactive environment, which is the center demand of applications such as MPEG-4/7 or content-based video retrieval. The estimation of global motion and occlusion can also be computed through the tracking of background areas. Besides, based on the proposed hierarchical robust framework, the accurate motion parameters between correspondent areas can be obtained and the computational efficiency is improved remarkably.
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References
Paulo Correia, Fernando Pereira, “The role of analysis in content-based video coding and indexing” Signal Processing special issue on video sequence segmentation for content-based processing and manipulation, Volume 66, No.2, April 1998.
F. Marqués and Cristina Molina. “An object tracking technique for content-based functionalities”, SPIE Visual Communication and Image Processing (VCIP-97), volume 3024 pp. 190–198, San Jose, USA, 1997.
F. Marqués, B. Marcotegui and F. Meyer. “Tracking areas of interest for content-based functionalities in segmentation-based coding schemes”. Proc.ICASSP’96, volume II, pages 1224–1227, Atlanta (GA), USA, May 1996.
F. Marqués. Temporal stability in sequence segmentation using the wathershed algorithm. In P. Maragos, R. Schafer and M. Butt, editors, Mathematical Morphology and its Applications to Image and Signal Processing, pages 321–328, Atlanta (GA), USA, May 1996. Kluwer Academic Press.
D. Zhong and S.-F. Chang, “Spatio-Temporal Video Search Using the Object Based Video Representation,” IEEE. Intern. Conf. on Image Processing, invited talk, special session on video technology, Santa Barbara, Oct. 1997.
D. Zhong and S.-F. Chang, “Video Object Model and Segmentation for Content-Based Video Indexing,” IEEE Intern. Conf. on Circuits and Systems, June, 1997, Hong Kong. (special session on Networked Multimedia Technology & Application)
Lothar bergen and Fernand Meyer “Motion Segmentation and Depth ordering Based on Morphological Segmentation” Proc.ECCV, 531–547, 1998
M. J. Black and P. Anandan, “The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields, Computer Vision and Image Understanding”, 63(1), 75–103, 1996
J.R. Bergen, P.J. Burt, R. Hingorani, and S. peleg. “Computing two motions from three frames”. Proc.ICCV, pages 27–32, December 1990
P. Huber, Robust Statistics, Wiley 1981
Y. Bar-Shalom and T.E. Fortmann. Tracking and Data Association. Academic Press, Inc. 1988.
L. Vincent and P. Soille, “Watersheds in Digital Space: An Efficient Algorithm Based on Immersion Simulation”, IEEE Transaction on Pattern Analysis and Machine Intelligence, 13(6), 583–598, 1991
M. Pardas and P. Salembier. “3D morphological segmentation and motion estimation for image sequence” EURASIP Signal Processing, 38(1):31–43, 1994.
Jae Gark Choi, Si-Woong Lee and Seong-Dae Kim “Video Segmentation Based on Spatial and Temporal Information” Proc.ICASSP’97, 2661–2664, 1997.
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© 1999 Springer-Verlag Berlin Heidelberg
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Liao, M., Li, Y., Ma, S., Lu, H. (1999). Robust Tracking of Video Objects through Topological Constraint on Homogeneous Motion. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_39
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DOI: https://doi.org/10.1007/3-540-48762-X_39
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