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The paper proposes a two-phase view-invariant multiscale gait recognition method (VI-MGR) which is robust to variation in clothing and presence of a carried item. In phase 1, VI-MGR uses the entropy of the limb region of a gait energy image (GEI) to determine the matching gallery view of the probe using 2-dimensional principal component analysis and Euclidean distance classifier. In phase 2, the probe...
Due to limited transmission bandwidth and storage capac-ity, the gait sequences captured by a Closed Circuit Television (CCTV) camera are recorded at low frame-rates with low spatial resolution, which significantly affect the performance of a gait recognition method. Thus, this paper proposes a gait recognition method which uses dual-tree complex wavelet transform for spatial resolution enhancement...
In this paper, we propose a gait recognition method for extremely low frame-rate videos. Different from the popular temporal reconstruction-based methods, the proposed method uses the average gait over the whole sequence as input feature template. Assuming the effect caused by extremely low frame-rate or large gait fluctuations are intra-class variations that the gallery data fails to capture, we...
This paper presents a gait recognition method which combines spatio-temporal motion characteristics, statistical and physical parameters (referred to as STM–SPP) of a human subject for its classification by analysing shape of the subject's silhouette contours using Procrustes shape analysis (PSA) and elliptic Fourier descriptors (EFDs). STM–SPP uses spatio-temporal gait characteristics and physical...
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