Abstract Gait analyses have recently gained attention as methods of identification of individuals at a distance from a camera. However, appearance changes due to view direction changes cause difficulties for gait recognition systems. Here, we propose a method of gait recognition from various view directions using frequency-domain features and a view transformation model. We first construct a spatio-temporal silhouette volume of a walking person and then extract frequency-domain features of the volume by Fourier analysis based on gait periodicity. Next, our view transformation model is obtained with a training set of multiple persons from multiple view directions. In a recognition phase, the model transforms gallery features into the same view direction as that of an input feature, and so the features match each other. Experiments involving gait recognition from 24 view directions demonstrate the effectiveness of the proposed method.


    Access

    Download


    Export, share and cite



    Title :

    Gait Recognition Using a View Transformation Model in the Frequency Domain


    Contributors:


    Publication date :

    2006-01-01


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Gait Recognition Using a View Transformation Model in the Frequency Domain

    Makihara, Y. / Sagawa, R. / Mukaigawa, Y. et al. | British Library Conference Proceedings | 2006


    A Study on View-Insensitive Gait Recognition

    Han, J. / Bhanu, B. / Roy-Chowdhury, A. K. | British Library Conference Proceedings | 2005


    A study on view-insensitive gait recognition

    Ju Han, / Bir Bhanu, / Roy-Chowdhury, A.K. | IEEE | 2005


    Recognition Using Gait

    M. W. Koch | NTIS | 2007


    Gait recognition using a few gait frames.

    Yao, L / Kusakunniran, W / Wu, Q et al. | BASE | 2021

    Free access