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Visual Pop-Can Detection Method Based on AdaBoost
- Source :
- Applied Mechanics and Materials. :637-640
- Publication Year :
- 2014
- Publisher :
- Trans Tech Publications, Ltd., 2014.
-
Abstract
- This paper puts forward a visual method of detecting pop-cans based on AdaBoost Algorithm. This method, is basing on the idea of AdaBoost Algorithm, and we use Haar Feature and LBP Feature to extract pop-can characteristics respectively. Finally we compare the differences of the training processes and the experiment results between these two detectors. It shows that these pop-can detectors that are trained by this visual method have high detection rate and speed.
Details
- ISSN :
- 16627482
- Database :
- OpenAIRE
- Journal :
- Applied Mechanics and Materials
- Accession number :
- edsair.doi...........c9de7caaf557d49f2bf9860c0942f7e5