How can i detect car using tail light color and shape of the car?
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I m working on car detection from a given image. I m thinking about using tail light color and shape of the rear side of car as my feature. I used color segmentation and edge detection. now i m stuck with classification. I can't use SVM as my supervisor won't allow SVM. What can i do? I attached my color segmentation and edge detection code. Also an image of car.

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Image Analyst
el 30 de Oct. de 2014
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That's a very challenging problem. You should look up CBIR since the tools used in that will help you. Warning though - it's not trivial. You'll use things like SURF and SIFT and HOG and lots of other things.
As far as color goes, that will probably be a fruitless attempt. There are so many ways the color in your digital image could change and the change from one lighting condition to the next will most likely be way more than the color change between two different cars under the same lighting. In other words, if your mean RGB of a tail light is [160, 60, 70], there's no way to know what model of car it is from just that color. It could be a Toyota in daylight, or a BMW at dusk, or a Ford in the morning.
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Nahid Islam
el 30 de Oct. de 2014
Muhammad Talib
el 27 de Feb. de 2016
0 votos
further i am also working on car make and model recognition system. for that i used these feature as well out of others ....
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