Long distance person identification using height measurement and face recognition

Tsai, Hsin‐Chun; Wang, Wen-Chi; Wang, Jia-Ching; Wang, Jhing-Fa

doi:10.1109/tencon.2009.5396069

Cited by 10 publications

(2 citation statements)

References 9 publications

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“…To satisfy the intelligent surveillance system, the long distance human identification technique applicable to the surveillance camera environment is needed [2]. Face recognition has relatively low recognition rate compared to fingerprint and iris recognition but since it is able to recognize in non-contact and non-cooperative environments and even in long distance, the studies on long distance human identification using the face are still ongoing [3,4]. In face recognition, there are methods to recognize the face by geometric features, which are the size and location of the face components, such as eye, nose and mouth and to recognize using the statistical values of entire face including Principal Component Analysis(PCA) and Linear Discriminant Analysis(LDA) [5,6].…”

Section: Introtrgductionmentioning

confidence: 99%

The LDA-Based Face Recognition at a Distance Using Multiple Distance Image

Moon

Pan

2013

2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing

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These days surveillance system has been developed into intelligent system that can judge and handle using human recognition technology that can recognize the people. In this paper, LDA-based face recognition algorithm for the intelligent surveillance system is proposed. While the existing face recognition algorithm uses the short distance images for training images but the proposed algorithm uses face images by distance extracted from 1m to 5m for training images. In the proposed LDA-based long distance face recognition algorithm, bilinear interpolation uses for the normalization and Euclidean Distance measure method is used for similarity measure. As a result of experiment, it is confirmed that the proposed algorithm showed improved face recognition performance 6.1% in short distance and 31% in long distance.

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Section: Introtrgductionmentioning

confidence: 99%

The LDA-Based Face Recognition at a Distance Using Multiple Distance Image

Moon

Pan

2013

2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing

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show abstract

“…To satisfy the intelligent surveillance system, the long distance human identification technique applicable to the surveillance camera environment is needed [2]. The studies on long distance human identification using the face are still ongoing [3,4]. Face recognition in the surveillance camera system should be operated in long distance(3m~5m) as well as short distance(1m~2m).…”

Section: Introductionmentioning

confidence: 99%

The PCA-Based Long Distance Face Recognition Using Multiple Distance Training Images for Intelligent Surveillance System

Moon

Pan

2013

Lecture Notes in Computer Science

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Abstract. In this paper, PCA-based long distance face recognition algorithm applicable to the environment of intelligent video surveillance system is proposed. While the existing face recognition algorithm uses the short distance images for training images, the proposed algorithm uses face images by distance extracted from 1m to 5m for training images. Face images by distance, which are used for training images and test images, are normalized through bilinear interpolation. The proposed algorithm has improved face recognition performance by 4.8% in short distance and 16.5% in long distance so it is applicable to the intelligent video surveillance system.

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Binocular Vision-Based Human Ranging Algorithm Based on Human Faces Recognition

Meng

2019

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Long distance person identification using height measurement and face recognition

Cited by 10 publications

References 9 publications

The LDA-Based Face Recognition at a Distance Using Multiple Distance Image

The LDA-Based Face Recognition at a Distance Using Multiple Distance Image

The PCA-Based Long Distance Face Recognition Using Multiple Distance Training Images for Intelligent Surveillance System

Binocular Vision-Based Human Ranging Algorithm Based on Human Faces Recognition

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