DocumentCode :
3568094
Title :
2DT conical wavelet with high aperture-selectivity for directional speed capture in video sequences
Author :
Brault, P. ; Antoine, J.-P.
Author_Institution :
Supelec, Paris-Sud Univ., Gif-sur-Yvette, France
fYear :
2012
Firstpage :
141
Lastpage :
145
Abstract :
Cauchy and conical wavelets have been constructed as a response to the lack of aperture selectivity of the Mor-let wavelet. Furthermore, they allow a very simple adjustment of their angular selectivity. On the other hand, the Morlet wavelet has been tuned to speed in the 90s and its efficiency has been demonstrated for psychovisual analysis. It has also been used in a powerful aerial target tracking algorithm. These two interesting developments have been used here to build a new, highly directional, speed-tuned wavelet called Gaussian-conical Morlet (GCM). Like the Morlet wavelet, it presents very good characteristics in motion estimation and tracking, namely, long temporal dependence, robustness to noise and to occlusions. But for aperture selectivity and directional speed-capture, GCM easily outperforms Morlet. This paper describes the GCM construction, utilization and aperture performances.
Keywords :
Gaussian noise; image sequences; motion estimation; target tracking; video signal processing; wavelet transforms; 2DT conical wavelet; Cauchy wavelets transform; GCM; Gaussian-conical Morlet wavelet transform; aerial target tracking algorithm; angular selectivity; directional speed capture; high aperture-selectivity; highly directional speed-tuned wavelet transform; long temporal dependence; motion estimation; psychovisual analysis; video sequences; Apertures; Continuous wavelet transforms; Tuning; Video sequences; Wavelet analysis; 2D/3D+T coding; Cauchy and conical wavelets; Extraction of motion parameters; Morlet; angular and aperture selectivity; block matching; continuous wavelet transform; directional wavelets; optical flow; scalability; scalable video coding; sequence analysis; sequence retrieval; speed tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
ISSN :
2219-5491
Print_ISBN :
978-1-4673-1068-0
Type :
conf
Filename :
6333788
Link To Document :
بازگشت