Rosa Andrie Asmara

Work place: Informatics Management Department State Polytechnics of Malang, Malang, Indonesia



Research Interests: Computer systems and computational processes, Computer Vision, Pattern Recognition, Parallel Computing, Image Processing


Rosa A. Asmara received the B.E. degree in electronics engineering from Brawijaya University, and the M.S. degree in Multimedia engineering, from Institute of Technology Sepuluh Nopember, Surabaya, Indonesia, in 2004 and 2009, respectively. He is currently a PhD Student at Information Science in Saga University, Japan. His research interests include signal processing, image processing, parallel processing, pattern recognition, and computer vision.

Author Articles
Gender Classification Method Based on Gait Energy Motion Derived from Silhouette Through Wavelet Analysis of Human Gait Moving Pictures

By Kohei Arai Rosa Andrie Asmara

DOI:, Pub. Date: 8 Feb. 2014

Gender classification method based on Gait Energy Motion: GEM derived through wavelet analysis of human gait moving pictures is proposed. Through experiments with human gait moving pictures, it is found that the extracted features of wavelet coefficients using silhouettes images are useful for improvement of gender classification accuracy. Also, it is found that the proposed gender classification method shows the best classification performance, 97.63% of correct classification ratio.

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Other Articles