Detection of Stop Signs
نویسندگان
چکیده
In this project we study selecting of robust method to detect and recognize stop signs in an urban area. To tackle this problem we tries three different method, and the experiment showed that the two of the tree methods are promising to continue working on. The first method was HAAR features combined with Decision Trees which didn’t work well in tests. The second approach was using HOG with logistic regression which showed robustness in different lightening. And the final approach was template matching which could detect stop signs with small amount of false positives.
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