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Combining Results - Background Subtraction + Projective Geometry

Module by: Jeonggoo Song. E-mail the author

Summary: This module presents the results of applied background subtraction and projective geometry

Combining Our Results – Projective Geometry + Background Subtraction

Combining Our Results

By combining the result from our two parts, it is possible to tract the location of the object. As mentioned earlier, we need to use two different camera capturing image from different angle. This is because using one camera cannot differentiate depth and height. So by using two cameras, we can superimpose the two images (of world plane) and find an accurate location of the object(See figure 1 for result).

Figure 1: Result after we combine the two processes (from 2 different cameras)
Figure 1 (graphics1.png)

We represent our result in the form of Weight Particles plots (shown in figure 2). By summing the two plot above (c, d), square this resulting sum and divide it with the sum of all the value in the matrix -> matrix represents the weights of the final particles. If you plot this matrix, you will get the plot (as below) that represents the probability distribution of the target in x-y space.

Figure 2: Weighted Particles Plots
Figure 2 (graphics2.png)

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Definition of a lens

Lenses

A lens is a custom view of the content in the repository. You can think of it as a fancy kind of list that will let you see content through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual member, a community, or a respected organization.

What are tags? tag icon

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

| External bookmarks