Estimation of Motion Fields from Noisy Image Sequences: Using Generalized Cross-Correlation Methods

2007 ◽  
Author(s):  
Ismaili Alaoui El Mehdi ◽  
Ibn Haj El Elhassane
Keyword(s):  
Cross Correlation ◽  
Image Sequences ◽  
Noisy Image ◽  
Correlation Methods

scholarly journals Estimation of Subpixel Motion Using Bispectrum

2008 ◽  
Vol 2008 ◽  
pp. 1-5 ◽  
Author(s):  
El Mehdi Ismaili Aalaoui ◽  
Elhassane Ibn-Elhaj
Keyword(s):  
Motion Estimation ◽  
Frequency Domain ◽  
Video Processing ◽  
Cross Correlation ◽  
Image Sequences ◽  
Experimental Results ◽  
Phase Correlation ◽  
Estimation Methods ◽  
Noisy Image ◽  
Better Than

Motion estimation techniques are widely used in today's video processing systems. The frequently used techniques are frequency-domain motion estimation methods, most notably phase correlation (PC). If the image frames are corrupted by Gaussian noises, then cross-correlation and related techniques do not work well. In this paper, however, we have studied this topic from a viewpoint different from the above. Our scheme is based on the bispectrum method for sub-pixel motion estimation of noisy image sequences. Experimental results show that our proposed method performs significantly better than PC technique.

Sign in / Sign up

Export Citation Format

Share Document