GMU:Human and Nonhuman Performances II SS16/Kan Feng: Difference between revisions

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== Algorithm of capture ==
== Algorithm of capture ==


There are many ways for the computer vision to calculate the capture area to serve for your purpose. To calculate the amounts of people, you may use '''face detection''' or '''blob detection'''. Here, I am going to use blob detection cause there exists the case someone who will walk in front of somebody, then the face will not be well detected by the webcam. Blob detection will be great to calculate the amounts of people if we are going to set the webcam on the roof of lab, so that every person that inside the capture area will be detected as a blob.
There are many ways for the computer vision to calculate the capture area to serve for your purpose. To calculate the amounts of people, you may use '''face detection''' or '''blob detection'''. Here, I am going to use blob detection cause there exists the case someone who will walk in front of somebody, then the face will not be well detected by the webcam. Blob detection will be great to calculate the amounts of people if we are going to set the webcam on the roof of lab, so that every person that inside the capture area will be detected as a blob. For detailed information about how to calculate the numbers of people in DBL, please check here: <http://www.uni-weimar.de/medien/wiki/GMU:Tutorials/Performance_Platform/Custom_People_Counting>


[[File:blobDetect1.jpg]]
[[File:blobDetect1.jpg]]