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In this work, a novel gait pattern production approach is proposed for human gait recognition. Gait biometric features are determined based on silhouttes. Proposed gait pattern is obtained by sum of the different silhouttes over a gait cycle. Then transformation matrix is produced with principal component analysis of training data set obtained from gait patterns. Each pattern is transformed into another...
In this study, motion detection and tracking for real time system is presented. Through the low pass operations, the system works efficiently in real time. In the study, the Barnes Maze test mechanism is automatically learned by Hough transform. Background subtraction algorithms for object detection and estimation approaches based on color, shape and position for tracking are used. Since the desired...
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