CFP last date
17 June 2024
Reseach Article

Multiselectivity Spatio-Temporal Analysis for Motion and Velocity Capture

by Mohamed EL Aallaoui
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 29
Year of Publication: 2020
Authors: Mohamed EL Aallaoui

Mohamed EL Aallaoui . Multiselectivity Spatio-Temporal Analysis for Motion and Velocity Capture. International Journal of Applied Information Systems. 12, 29 ( May 2020), 1-10. DOI=10.5120/ijais2020451856

@article{ 10.5120/ijais2020451856,
author = { Mohamed EL Aallaoui },
title = { Multiselectivity Spatio-Temporal Analysis for Motion and Velocity Capture },
journal = { International Journal of Applied Information Systems },
issue_date = { May 2020 },
volume = { 12 },
number = { 29 },
month = { May },
year = { 2020 },
issn = { 2249-0868 },
pages = { 1-10 },
numpages = {9},
url = { },
doi = { 10.5120/ijais2020451856 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2023-07-05T19:10:22.204517+05:30
%A Mohamed EL Aallaoui
%T Multiselectivity Spatio-Temporal Analysis for Motion and Velocity Capture
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 29
%P 1-10
%D 2020
%I Foundation of Computer Science (FCS), NY, USA

This paper focuses on the development of a new 2D time wavelets family for image sequence that can capture different motion in image sequence, ranging from highly directional ones to fully isotropic ones. We propose a multiselectivity spatio-temporal analysis, defined by isotropic and multidirectional decomposition with different angular selectivity. The result is a dictionary of wavelet transform with different selectivity level, which provides a theoretical tool to select a best representation for motion and velocity. This representation was used to developer a velocity capture algorithm in image sequence. The Experimental results demonstrate the effectiveness of the proposed approach.

  1. C. Zhu, W.S. Qi, and W. Se. Predictive fine granularity successive elimination for fast optimal block-matching motion estimation. IEEE Transactions on Image Processing, 10(2):213221, 2005.
  2. T. Koga, K. Iinuma, A. Hirano, Y. Iijima, and T. Ishiguro. Motion compensated inter-frame coding for video conferencing. Proceedings of the NTC81, pp. C.,, 1981.
  3. A. Ess, K. Schindler, B. Leibe, and L. Van Goo. Object detection and tracking for autonomous navigation in dynamic environments. The International Journal of Robotics Research, 29(14):1707–1725.
  4. M. Betke, E. Haritaoglu, and LS. Davis. Real-time multiple vehicle tracking from a moving vehicle. Mach Vision Appl, 12(2):69–83, 2000.
  5. A. Taboada-Crispi, H. Sahli, and M.O. Monteagudo. Anomaly detection in medical image analysis. Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications, Publisher: IGI Global(2009).
  6. Y. Wang, K.F Loe, T. Tan, and J-K. Wu. Spatiotemporal video segmentation based on graphical models. IEEE transactions on image processing, 14:937–947, July 2005.
  7. W. Brendel and S. Todorovic. Video object segmentation by tracking regions. IEEE 12th International Conference on Computer Vision, pages 833–840, 2009.
  8. M. El Aallaoui and A. Gourch. Video segmentation using 2d+time mumford-shah functional. International Journal of Computer Applications (0975 - 8887), 55(3):15–22, 2012.
  9. Z.Wang, X. Gao, B. Zhang, and H.Wu. Motion estimation for a mobile robot based on real-time stereo vision system. 2nd International Congress on Image and Signal Processing, pages 1–5, 2009.
  10. J.J Tsai and H. Ming Hang. Modeling of pattern-based block motion estimation and its application. IEEE Transactions on Circuits and Systems for Video Technology, 19(1):108–113.
  11. C. Zhu, W. S. Qi, and W. Ser. Predictive fine granularity successive elimination for fast optimal block-matching motion estimation. EEE Trans. Image Process, 14(2):213221, 2005.
  12. C.P. Bernard. Ondelettes et problmes mal poss : la mesure du flot optique et l’interpolation irrgulire. PhD thesis, Ecole Polytechnique, CMAP, Centre de Mathematiques Appliques., 1999.
  13. F. Mujica. Spatio-temporal continuous transform for motion estimation. hD Thesis, 1999.
  14. P. Brault. Motion estimation and segmentation. PhD thesis, 2005.
  15. M. Duval-Destin. Analyse spatiale et spatio-temporelle de la stimulation visuelle l’aide de la transforme en ondelettes. Thse de Doctorat, 1991.
  16. M. Duval-Destin and R. Murenzi. Spatio-temporal wavelets: Application to the analysis of moving patterns. in Progress in Wavelet Analysis and Applications, 1992.
  17. P. Brault and J.P Antoine. A spatio-temporal gaussianconical wavelet with high aperture selectivity for motion and speed analysis. Applied and Computational Harmonic Analysis, 34:148–161, 2013.
  18. J-P Antoine. Galilean wavelets: Coherent states of the affine galilei group. Journal of Mathematical Physics, 40(11), 1999.
  19. J.-P. Leduc, J. Corbett, M. Kong, V. M. Wickerhauser, and B. K. Ghosh. Accelerated spatio-temporal wavelet transforms: An iterative trajectory estimation. IEEE ICASSP5, page 7772780, 1998.
  20. J-P. Antoine, R. Murenzi, P. Vandergheynst, and S.T. Ali. Two-dimensional wavelets and their relatives. Cambridge University Press, 2004.
  21. S. Mallat. A wavelet tour of signal processing. Academic Press, 1998.
  22. J-P. Antoine, P. Carrette, R. Murenzi, and B. Piette. Image analysis with two-dimensional continuous wavelet transform. Signal Processing, 31:241272, 1993.
  23. S. T. Ali, J-P. Antoine, and J-P. Gazeau. Coherent states, wavelets and their generalizations. Springer, 2000.
  24. J-P. Antoine and R. Murenzi. Two-dimensional directional wavelets and the scale-angle representation. Signal Processing, page 259281, 1996.
  25. M. ElAallaoui, A. ElBouhtouri, and A. Ayadi. Adaptive selectivity representation: Design, and applications. Int. J. Wavelets, Multiresolution and Information Processing (ijwmip), 7:89–113, 2009.
Index Terms

Computer Science
Information Sciences


2D+time wavelets Velocity capture Motion analysis Multiselectivity analysis Angular selectivity