Gait Sequence Analysis Using Frieze Patterns
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Individual Recognition Using Gait Energy Image
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Improved Gait Recognition by Gait Dynamics Normalization
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ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
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Frame difference energy image for gait recognition with incomplete silhouettes
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Fusion of static and dynamic body biometrics for gait recognition
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Gait recognition using Pose Kinematics and Pose Energy Image
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Gait recognition based on partitioned weighting gait energy image
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Gait recognition via optimally interpolated deformable contours
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This paper proposes a novel active energy image (AEI) method for gait recognition. Existing human gait feature representation methods, however, usually suffer from low quality of human silhouettes and insufficient dynamic characteristics. To this end, we apply the proposed AEI for gait representation. Given a gait silhouette sequence, we first extract the active regions by calculating the difference of two adjacent silhouette images, and construct an AEI by accumulating these active regions. Then, we project each AEI to a low-dimensional feature subspace via the newly proposed two-dimensional locality preserving projections (2DLPP) method to further improve the discriminative power of the extracted features. Experimental results on the CASIA gait database (dataset B and C) demonstrate the effectiveness of the proposed method.