Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Two Wheeler Recognition Using the Correlation Coefficient for Histogram of Oriented Gradients to Apply Intelligent Wheelchair

지능형 휠체어 적용을 위한 기울기 히스토그램의 상관계수를 이용한 도로위의 이륜차 인식

  • Kim, Bum-Koog (TaeguScience University, Department of Information and communication) ;
  • Park, Sang-Hee (DaeguCyber University, Department of Speech and Language Pathology) ;
  • Lee, Yeung-Hak (Kyungwoon University, Department of Digital electronic Engineering) ;
  • Lee, Gang-Hwa (Yeungnam University, Department of Electronic Engineering)
  • 김범국 (대구과학대학교 정보통신과) ;
  • 박상희 (대구사이버대학교 언어치료학과) ;
  • 이영학 (경운대학교 디지털전자공학과) ;
  • 이강화 (영남대학교 전자공학과)
  • Received : 2011.10.19
  • Accepted : 2011.12.22
  • Published : 2011.12.30
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Abstract

This article describes a new recognition algorithm using correlation coefficient for intelligent wheelchair to avoid collision for elderly or disabled people. The correlation coefficient can be used to represent the relationship of two different areas. The algorithm has three steps: Firstly, we extract an edge vector using the Histogram of Oriented Gradients(HOG) which includes gradient information and unique magnitude for each cell. From this result, the correlation coefficients are calculated between one cell and others. Secondly, correlation coefficients are used as the weighting factors for normalizing the HOG cell. And finally, these features are used to classify or detect variable and complicated shapes of two wheelers using Adaboost algorithm. In this paper, we propose a new feature vectors which is calculated by weighted cell unit to classify with multiple view-based shapes: frontal, rear and side views($60^{\circ}$, $90^{\circ}$ and mixed angle). Our experimental results show that two wheeler detection system based on a proposed approach leads to a higher detection accuracy than the method using traditional features in a similar detection time.

Keywords

References

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