A cascade fusion scheme for gait and cumulative foot pressure image recognition
Pattern Recognition
Frontal gait recognition combining 2D and 3D data
Proceedings of the on Multimedia and security
Person identification using full-body motion and anthropometric biometrics from kinect videos
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Human gait recognition using depth camera: a covariance based approach
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
MMU GASPFA: A COTS multimodal biometric database
Pattern Recognition Letters
Pose Depth Volume extraction from RGB-D streams for frontal gait recognition
Journal of Visual Communication and Image Representation
Journal of Visual Communication and Image Representation
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Gait energy images (GEIs) and its variants form the basis of many recent appearance-based gait recognition systems. The GEI combines good recognition performance with a simple implementation, though it suffers problems inherent to appearance-based approaches, such as being highly view dependent. In this paper, we extend the concept of the GEI to 3D, to create what we call the gait energy volume, or GEV. A basic GEV implementation is tested on the CMU MoBo database, showing improvements over both the GEI baseline and a fused multi-view GEI approach. We also demonstrate the efficacy of this approach on partial volume reconstructions created from frontal depth images, which can be more practically acquired, for example, in biometric portals implemented with stereo cameras, or other depth acquisition systems. Experiments on frontal depth images are evaluated on an in-house developed database captured using the Microsoft Kinect, and demonstrate the validity of the proposed approach.