فهرست مقالات Shape Recognition

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  1 - Centroid Distance Shape Recognition for Real Time Low Complexity Traffic Sign Recognition
  Hamidreza Emami Ramin Shaghaghi Kandowan Seyyed Abolfazl Hosseini
  This paper represents advantages of using Centroid distance function for shape detection in real time traffic sign recognition compared with extracting histogram of oriented gradients (HOG) features and using support vector machine (SVM) classifier. Simulation results o چکیده کامل

  This paper represents advantages of using Centroid distance function for shape detection in real time traffic sign recognition compared with extracting histogram of oriented gradients (HOG) features and using support vector machine (SVM) classifier. Simulation results of using centroid distance show similar accuracy in compare with HOG SVM while have very low complexity and cost and running with higher speed. پرونده مقاله