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Object tracking using cross correlation

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Cross correlation is a standard method of estimating the degree to which two series are correlated.Once the
straightforward representation for digital images is a two-dimensional signal, which are generally the outputs of
two-dimensional systems, we need the mathematical concepts used in the study of such systems.
A digital image can be represented as a two dimensional matrix. Its elements are called pixels and to each
pixel it is associated a color intensity or a grey-level value. In the case of color images, an usual color system is
the RGB one.

if two images are cross-correlated then the resultant signal results a peak where there is higher similarity. the location of the peak is the location of the object.

This is my simple experiment in Matlab


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imreg3.jpg


[video=youtube;juvza_AzkHI]https://www.youtube.com/watch?feature=player_embedded&v=juvza_AzkHI#t=0s[/video]
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Comments

Congratulations to the Intersting example,


However It was not clear to me what feature of image was used to match.
Due cross-correlation algorithm is stronghly scale and inclination dependent, I sugest you to implement the SURF algorithm.

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sagar474
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