The Journal of Korea Institute of Information, Electronics, and Communication Technology (한국정보전자통신기술학회논문지)

Korea Information Electronic Communication Technology (한국정보전자통신기술학회)
권호 표지

An Object Classification Algorithm Based on Histogram of Oriented Gradients and Multiclass AdaBoost

  • Yun, Anastasiya (MC Electronics Ltd.) ;
  • Lenskiy, Artem (School of Computer Engineering & Information Technology, University of Ulsan) ;
  • Lee, Jong Soo (School of Computer Engineering & Information Technology, University of Ulsan)
  • Published : 2008.12.30
Download PDF
⟨ Previous Next ⟩

Abstract

This paper introduces a visual object classification algorithm based on statistical information. Objects are characterized through the Histogram of Oriented Gradients (HOG) method and classification is performed using Multiclass AdaBoost. Salient features of an object's appearance are detected by HOG blocks Blocks of different sizes are tested to define the most suitable configuration. To select the most informative blocks for classification a multiclass AdaBoostSVM algorithm is applied. The proposed method has a high speed processing and classification rate. Results of the evaluation based on example of hand gesture recognition are presented.

Keywords