Automatic gait recognition based on statistical shape analysis

By Liang Wang, Tien-Ping Tan, Weiming Hu, Huazhong Ning. IEEE Transactions on Image Processing, 2003

439 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Identifying users of portable devices from gait pattern with accelerometers (2005, methodology): “The method presented differs significantly from the mainstream gait recognition research relying on computer vision [5-7] or sensors installed in the floor [15] since it is unobtrusive and it does not require any sensing equipment in infrastructure.”
Robust Video Surveillance for Fall Detection Based on Human Shape Deformation (2011, methodology): “Usually, the whole silhouette of the person is used for shape analysis [22], [23].”
Fusion of static and dynamic body biometrics for gait recognition (2003, neutral): “Further details on static feature extraction may be found in [19].”
Human Identification Using Temporal Information Preserving Gait Template (2012, methodology): “Wang et al. adopted procrustes analysis to capture the mean shapes of the gait silhouettes [17].”
Biometric Gait Authentication Using Accelerometer Sensor (2006, methodology): “[37] using statistical shape analysis of the subjects’ silhouettes achieved EER of 8%, 12% and 14% for three viewing angles (0, 90 and 45, respectively).”