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Group 10

Group 10. Wikipedia Edit. To write a section on a Wikipedia web page, or start a new page, OR on an aspect not covered on that page in Wikipedia. Background Subtraction.

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Group 10

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  1. Group 10 Wikipedia Edit To write a section on a Wikipedia web page, or start a new page, OR on an aspect not covered on that page in Wikipedia

  2. Background Subtraction Background subtraction provides important cues for numerous applications in computer vision, for example surveillance tracking or human poses estimation. However, background subtraction is generally based on a static background hypothesis which is often not applicable in real environments.

  3. Why Background Subtraction? With indoor scenes, reflections or animated images on screens lead to background changes. In a same way, due to wind, rain or illumination changes brought by weather, static backgrounds methods have difficulties with outdoor scenes. So , we require background subtraction algorithm to remove such difficulties.

  4. Basic Formula A motion detection algorithm begins with the segmentation part where foreground or moving objects are segmented from  the background. The simplest way to implement this is to take an image as background and take the frames obtained at the time  t, denoted by i(t) to compare with the background image denoted by B.

  5. Basic Formula We can segment out the objects simply by using image subtraction technique of computer vision meaning for each pixels in I(T), take the pixel value denoted by P[I(T)] and subtract it with the corresponding pixels at the same position on the background image denoted as P[B] P[F(T)]=P[I(T)]­-P[B].

  6. References(2) • BrajeshPatel,Neelam Patel (Mar 2012): Motion Detection based on multi-frame video under surveillance systems. Vol. 12. Jump up • Nan Lu, Jihong Wang, Q.H. Wu and Li Yang (Feb 2012). An improved Motion Detection method for real time Surveillance.

  7. thanks

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