Earticle

초록

영어

This paper proposes a robust real-time artificial landmarks detection and recognition system for indoor mobile robot. Landmarks detection and recognition for indoor robots faces two major difficulties, one is the illumination changes and the other is processing speed. In this paper, first, histograms of oriented gradient (HOG) features are extracted to resolve the problem of illumination changes. Second, AdaBoost based algorithm is used in detection phase to increase the processing speed. Finally, RBF-SVM classifier is used for recognition. Experimental results show a high detection and recognition accuracy and the processing speed is about 10 frames per second.

목차

Abstract
 1. Introduction
 2. Feature extraction
 3. Landmark Detection based on AdaBoost
  3.1. Using Integral Image to Calculate the HOG Feature for High Speed
  3.2. Constructing Weak Classifier of HOG Adapt to AdaBoost
  3.3. Strong Classifier
 4. The Landmark Recognition based on RBFSVM
  4.1. Establishment of SVM Classifier
 5. Experimental Results and Analysis
  5.1. Experimental Results of Landmark Detection
  5.2. Experimental Results based on SVM Landmark Recognition
  5.3. The Performance of our Overall System
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Yanbing Xue [ Key Laboratory of Computer Vision and System, Tianjin University of Technology, Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin 300191, China ]
• Hua Zhang [ Key Laboratory of Computer Vision and System, Tianjin University of Technology, Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin 300191, China ]
• Yucui Ju [ Key Laboratory of Computer Vision and System, Tianjin University of Technology, Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin 300191, China ]
• Jin Wang [ Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science &Technology, Nanjing, 210044, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605