Road / Traffic Sign Recognition
Uploader Comments (moonhwiLee)
All Comments (18)
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Are you doing traffic sign detection or recognition?because your system does not specify the type of road sign,it just detect and show it.
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What do you think is taking more juice from the cpu? finding the signs in those high resolution images? or doing the image recognition?
I see that you are using a pretty powerful cpu for this (3Ghz quad).
I find it amazing that small digital cameras nowadays run super fast detection of multiple faces, but I doubt they use such a powerful cpu as you are using. I wonder how they manage to do that. Using a specialized processor, like a DSP I guess?
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Which technical language have you used to implement this project: C, Visual C++ or Matlab?
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Hi Which camera did you choose?
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Hi Amazing work!!
Which camera you used ?
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Hi moonhwiLee!
Can you give me any hint about how you defined the Noise class? For example in one case scenario I used about 2500 normalized images of the 30 speed limit sign and about 1800 images labeled as Noise. In training/testing the SVM classifier I got over 90% accuracy but when testing on real video, almost everything gets labeled as Noise.
Thanks in advance!
great.....what technique are u using?
template matching?
ankit123ful 1 year ago
@ankit123ful
I use color-based methods for ROI extraction.
NN+SVM is used to recognize road sign.
moonhwiLee 1 year ago
@moonhwiLee
What does NN+SVM mean? Can you please give a little more details? Thanks!
adyandon 1 year ago
@adyandon
Please find these algorithm:-)
NN : Neural Network
SVM : Support Vector Machine
moonhwiLee 1 year ago