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Using SimpleCV for traffic detection - Any Ideas?

asked 2013-04-19 10:32:37 -0500

pap-x gravatar image

updated 2013-04-19 10:33:13 -0500

So I'm trying to detect traffic using SimpleCV. The images available are frames from road cameras with 1 second interval between them. Until now I have found only one way: Snap a picture of the empty road and check the differences with the current frame. The problem is that I have to snap many photos (at least 3) throughout the day due to changes in light. Do you have any better ideas?

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answered 2013-04-19 11:26:16 -0500

kscottz gravatar image

So there are a couple of suggestions I can make. The first is that you try a more advanced foreground / background model. One of the more common forms is a codebook foreground/background segmentation. Another thing you may want to try, is that given enough truth data, it is fairly easy to roll your own Haar cascades. This will allow you to detect vehicles without using a background model.

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Asked: 2013-04-19 10:32:37 -0500

Seen: 481 times

Last updated: Apr 19 '13