전기학회논문지P (The Transactions of the Korean Institute of Electrical Engineers P)

  • 제65권2호
  • /
  • Pages.130-135
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  • 2016
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  • 1229-800X(pISSN)
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  • 2586-7792(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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열 영상에서의 걸음걸이와 얼굴 특징을 이용한 개인 인식

Person Recognition Using Gait and Face Features on Thermal Images

  • Kim, Sa-Mun (School of Electronics Engineering, Chungbuk National University) ;
  • Lee, Dae-Jong (School of Electronics Engineering, Chungbuk National University) ;
  • Lee, Ho-Hyun (School of Electronics Engineering, Chungbuk National University) ;
  • Chun, Myung-Geun (School of Electronics Engineering, Chungbuk National University)
  • 투고 : 2016.04.13
  • 심사 : 2016.05.17
  • 발행 : 2016.06.01
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초록

Gait recognition has advantage of non-contact type recognition. But It has disadvantage of low recognition rate when the pedestrian silhouette is changed due to bag or coat. In this paper, we proposed new method using combination of gait energy image feature and thermal face image feature. First, we extracted a face image which has optimal focusing value using human body rate and Tenengrad algorithm. Second step, we extracted features from gait energy image and thermal face image using linear discriminant analysis. Third, calculate euclidean distance between train data and test data, and optimize weights using genetic algorithm. Finally, we compute classification using nearest neighbor classification algorithm. So the proposed method shows a better result than the conventional method.

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참고문헌

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피인용 문헌

  1. Privacy-preserving Image Processing with Binocular Thermal Cameras vol.1, pp.4, 2018, https://doi.org/10.1145/3161198