Techniques for Video Mosaicing
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33093
Techniques for Video Mosaicing

Authors: P.Saravanan, Narayanan .C.K., P.V.S.S Prakash, Prabhakara Rao .G.V

Abstract:

Video Mosaicing is the stitching of selected frames of a video by estimating the camera motion between the frames and thereby registering successive frames of the video to arrive at the mosaic. Different techniques have been proposed in the literature for video mosaicing. Despite of the large number of papers dealing with techniques to generate mosaic, only a few authors have investigated conditions under which these techniques generate good estimate of motion parameters. In this paper, these techniques are studied under different videos, and the reasons for failures are found. We propose algorithms with incorporation of outlier removal algorithms for better estimation of motion parameters.

Keywords: Motion parameters, Outlier removal algorithms, Registering , and Video Mosaicing.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1055495

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1259

References:


[1] Micheal.J.Black and P Anandan "The Robust Estimation Of Multiple Motions: Parametric and Piecewise Smooth Flow Fields" CVIU Vol 63 pp 77-104, 1996.
[2] S. Mann, and R. Picard, "Video Orbits of the Projective Group: A Simple Approach to Featureless Estimation of Parameters", IEEE Trans. on Image Processing, Vol. 6, No. 9, pg. 1281-95, 1996.
[3] Bruce D.Lucas and Takeo Kanade, "An iterative Image registration Technique with an application to stereo vision", from Proceedings of Image Understanding workshop, pg.121-130, 1981.
[4] J.Shi and Carlo Tomasi, "Good Features to Track", IEEE Conference on Computer Vision and Pattern Recognition (CVPR94), Seattle, June 1994.
[5] Shinji Umeyama, "Least-Squares Estimation of Transformation Parameters Between Two Point Patterns", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 13, No. 4, April, 1991.
[6] J. R. Bergen, P. Anandan, K. J. Hanna, and R. Hingorani. Hierarchical model-based motion estimation. In G. Sandini, editor, Proc. of Second European Conference on Computer Vision, ECCV-92, volume 588 of LNCS-Series, pages 237-252. Springer-Verlag, May 1992.
[7] P.J.Burt, C.Yen, and X.Xu, "Local Correlation Measures for Motion Analysis: A Comparative Study." ,IEEE CPRIP, pg.269-274,1982
[8] R. Szeliski, "Image Mosaicing for Tele-Reality Applications", Technical Report CRL 94/2, Digital Equipment Corporation, 1994.
[9] B. Horn, and B. Schunck, "Determining Optical Flow", Artificial Intelligence, Vol. 17, pg. 185-204, August 1981.