Fusion of static and dynamic body biometrics for gait recognition

By Liang Wang, Huazhong Ning, Tien-Ping Tan, Weiming Hu. Proceedings Ninth IEEE International Conference on Computer Vision, 2003

430 citations recorded by the source corpus.

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A Framework for Evaluating the Effect of View Angle, Clothing and Carrying Condition on Gait Recognition (2006, background): “Some of them are model-based approaches [9, 11], and some are appearance-based ones [7, 12, 13].”
Human Identification Using Temporal Information Preserving Gait Template (2012, methodology): “Wang et al. [20] employed a condensation framework in which the structural-based and motion-based models are combined to refine the feature extraction.”
Discriminant Locally Linear Embedding With High-Order Tensor Data (2008, methodology): “PCA, LDA, and their variants have been previously applied to both face recognition [1], [38] and gait recognition [3], [9], [46].”
A Study on Gait-Based Gender Classification (2009, background): “One is model-based gait features [21], [22], such as height, frequency, angle between two thighs.”
Gait Components and Their Application to Gender Recognition (2008, background): “Many other efforts have also been spent on gait information processing [2], [4], [6], [9], [10], [12], [19], [22], [38], and since then, gait silhouette information has been widely utilized, e.”