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Cross-view gait recognition authenticates a person using a pair of gait image sequences with different observation views. View difference causes degradation of gait recognition accuracy, and so several solutions have been proposed to suppress this degradation. One useful solution is to apply a view transformation model (VTM) that encodes a joint subspace of multiview gait features trained with auxiliary...
Gait recognition has potential to recognize subject in CCTV footages thanks to robustness against image resolution. In the CCTV footage, several body-regions of subjects are, however, often un-observable because of occlusions and/or cutting off caused by limited field of view, and therefore, recognition must be done from a pair of partially observed data. The most popular approach to recognition from...
Gait is a unique and promising behavioral biometrics which allows to authenticate a person even at a distance from the camera. Since a matching pair of gait features are often drawn from different views due to differences in camera position/attitude and walking directions in the real world, it is important to cope with cross-view gait recognition. In this paper, we propose a discriminative approach...
Gait recognition is a method of biometric person authentication from his/her unconscious walking manner. Unlike the other biometrics such as DNA, fingerprint, vein, and iris, the gait can be recognized even at a distance from a camera without subjects' cooperation, and hence it is expected to be applied to many fields: criminal investigation, forensic science, and surveillance. However, the absence...
This paper proposes a method of gait recognition using not only shape feature but also motion feature from silhouette image sequences. The inner silhouette motion called pseudo motion is constructed by dividing the silhouette shape into small clusters and by computing many-to-many correspondence via earth mover's morphing framework. The raw pseudo motion, however, tends to be locally fluctuated in...
Gait recognition performance is often degraded by intra-subject gait fluctuations such as temporal fluctuations due to non-uniform evolution of phase (gait stance) and spatial fluctuations in arm swings or posture within the same phase. Therefore, we first propose a method for gait recognition using a phase-normalized image sequence to overcome the temporal fluctuations. However, it has been noticed...
Pattern recognition problems often suffer from the larger intra-class variation due to situation variations such as pose, walking speed, and clothing variations in gait recognition. This paper describes a method of discriminant subspace analysis focused on situation cluster pair. In training phase, both a situation cluster discriminant subspace and class discriminant subspaces for the situation cluster...
We propose a method of gait silhouette transformation from one speed to another to cope with walking speed changes in gait identification. When a person changes his/her walking speed, dynamic features (e.g. stride and joint angle) are changed while static features (e.g. thigh and shin lengths) are unchanged. Based on the fact, firstly, static and dynamic features are separated from gait silhouettes...
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