Object tracking using corss correlation

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







Download source code

Color based sigmentation object tracking

The goal of image segmentation is to cluster pixels into
salient image regions, i.e., regions corresponding to individual surfaces,
objects, or natural parts of objects.

A segmentation could be used for object recognition, occlusion boundary
estimation within motion or stereo systems, image compression,
image editing, or image database look-up.

The sigmentation based only on the color and size is very basic trick in image sigmentation.

and it is most simplest one.

Object tracking using color based segmentation.

1. getting the image from the device.
2. segmentation
3. eroding
4. finding the center coordinates.
5. plotting the data.
6. displaying the image on the display