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Auflistung nach Autor:in "Derawi, Mohammad Omar"

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  • Konferenzbeitrag
    Gait recognition for children over a longer period
    (BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Derawi, Mohammad Omar; Balisane, Hewa; Bours, Patrick; Ahmed, Waqar; Twigg, Peter
    In this paper a comparative investigation into the effects of time on gait recognition in children's walking has been carried out. Gait recognition has attracted considerable interest recently; however very little work has been reported in the literature which is related to gait recognition in children. It has been suggested ([Kyr02])that the gait of children does not stabilize before they are 11 years old. In this papers we will provide arguments that support this suggestion. When looking at the performance of gait recognition, which serves as an indicator for the stability of gait, we found a relationship between performance improvement and aging of children. The gait of a group of children was measured twice with a 6 months period between the two measurements. Our analysis showed that the similarity between these two measurements is significantly lower than the similarity within each of the measurements. Finally we also report the effect of gender on performance of gait recognition.
  • Konferenzbeitrag
    Gait recognition using time-of-flight sensor
    (BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Derawi, Mohammad Omar; Ali, Hazem; Cheikh, Faouzi Alaya
    This paper develops a biometric gait recognition system based on 3D video acquired by a Time-of-Flight (ToF) sensor providing depth and intensity frames. A first step of the proposed gait analysis is the automatic extraction of the silhouette of the person via segmentation. The segmentation of the silhouette is performed on the depth frame which provide information which describes the distance from the camera of every pixel in the intensity frame. The range data is sensitive to noise thus we apply morphological filtering operations to enhance the segmented object and eliminate the background noise. The positions of the joint angles are estimated based on the splitting of the silhouette into several body segments, based on anatomical knowledge, and ellipse fitting. The resulting parameters from this analysis of the silhouette are used for feature extraction from each frame. The evolutions of these features in time are used to characterise the gait patterns of the test subjects. Finally, we do biometric performance evaluation for the whole system. To the best of our knowledge, this article is the first article that introduces biometric gait recognition based on ToF Sensor.