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Canadian Conference on Artificial Intelligence

Canadian AI 2017: Advances in Artificial Intelligence pp 15–26Cite as

Person Identification Using Discriminative Visual Aesthetic

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10233))

Abstract

A person’s image aesthetic is defined as a set of principles that influences the person to choose favorite images over a list of options. Different persons have different visual preferences which can be used to discriminate a person from another. Recently, some research has been carried in the area of behavioral biometric and image aesthetic. Researchers prove that it is possible to identify a person from discriminative visual cues. In this paper, we develop a new and improved method for person recognition using aesthetic features. The proposed approach uses 14 perceptual and 3 content features collected from the state-of-the-art researches. To achieve significant improvement in rank 1 recognition rate, we utilize local perceptual features and Histogram Oriented Gradient (HOG) feature for the first time. However, the new feature space is 975 dimensional which increases the elapsed time of enrollment and recognition phases. To minimize it, we apply Principle Component Analysis (PCA) that reduces the dimension of the feature vector by 50% without affecting the actual recognition performance. The proposed method has been evaluated on 200 user’s 40,000 images from the benchmark Flickr database. Experiment shows that the proposed method achieves 84% and 97% recognition rates in rank 1 and 5, whereas most well-performed state-of-the-art method shows 73% and 92%, respectively.

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Acknowledgment

The authors would like to thank NSERC Discovery program grant RT731064, URGC, NSERC ENGAGE, NSERC Vanier CGS, and Alberta Ingenuity for partial support of this project.

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Authors and Affiliations

  1. University of Calgary, 2500 University Dr NW, Calgary, Alberta, Canada

    Samiul Azam & Marina Gavrilova

Authors
  1. Samiul Azam
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  2. Marina Gavrilova
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Correspondence to Samiul Azam .

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Editors and Affiliations

  1. University of Regina, Regina, Saskatchewan, Canada

    Malek Mouhoub

  2. University of Montreal, Montreal, Québec, Canada

    Philippe Langlais

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Azam, S., Gavrilova, M. (2017). Person Identification Using Discriminative Visual Aesthetic. In: Mouhoub, M., Langlais, P. (eds) Advances in Artificial Intelligence. Canadian AI 2017. Lecture Notes in Computer Science(), vol 10233. Springer, Cham. https://doi.org/10.1007/978-3-319-57351-9_2

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  • DOI: https://doi.org/10.1007/978-3-319-57351-9_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57350-2

  • Online ISBN: 978-3-319-57351-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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