Fusion of Active Appearance Model and Histogram of Oriented Gradient for Age Estimation

  • Authors

    • Quan Yan Chang
    • Thian Song Ong
    • Siew Chin Chong
    2018-11-26
    https://doi.org/10.14419/ijet.v7i4.29.21849
  • AAM, AGE ESTIMATION, FACE RECOGNITION, HOG

  • Abstract

    In recent years, automated age estimation through face images has attracted the interest among the research due to its variety applications in law enforcement, human computer interaction etc. This paper presents the fusion of Active Appearances Model (AAM) with Histogram of Oriented Gradients (HOG) to form the face descriptors for automatic age estimation. AAM and HOG are known to be reliable feature extraction techniques for shape and texture images. The weaknesses of both are minimized and the strengths of both are utilized in the proposed method for better age estimation model. The proposed method is evaluated using two benchmarked age estimation datasets and promising results is generated.

  • References

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  • How to Cite

    Chang, Q. Y., Ong, T. S., & Chong, S. C. (2018). Fusion of Active Appearance Model and Histogram of Oriented Gradient for Age Estimation. International Journal of Engineering & Technology, 7(4.29), 80-83. https://doi.org/10.14419/ijet.v7i4.29.21849

    Received date: 2018-11-27

    Accepted date: 2018-11-27

    Published date: 2018-11-26