Gait Recognition Based on Fourier Descriptors and Canonical Time Warping

Abstract

The Gait recognition includes the 3 main stages: In stage of moving target detection, this paper uses the background subtraction to extract gait silhouette. In stage of feature extraction, using Key frame technology and Fourier descriptors to extract the motion sequence silhouette feature. According to obtain feature data, we can use weighted Knearest neighbor (KNN) classifier to train gait database and recognize gait sequence with Canonical Time Warping (CTW).

Review on Vision-Based Gait Recognition: Representations, Classification Schemes and Datasets

“…Fourier transform was subsequently performed on these key frames to obtain the key frame profile. Elsewhere, Yuan et al (2015) obtained five key frames from each gait cycle based on the ratios of silhouette bounding box. Fourier descriptors were thereafter deployed to describe the key frames silhouette boundary.…”

“…Thereafter, the mean and variance of the distribution is obtained. Lee et al (2014b) TAMHI + HOG Euclidean distance Liu and Sarkar (2004) Averaged silhouette Euclidean distance Xu et al (2006) Averaged silhouette + CSA + DATER kNN Han and Bhanu (2006) GEI Euclidean distance Yang et al (2008) EGEI Euclidean distance Huang et al (2013) Modified GEI + Gabor Wavelets SVM Zhang et al (2009) DGEI + PCA + Locality preserving projections Euclidean distance Xu and Zhang (2010) GEI + Fuzzy PCA kNN + Euclidean distance Moustakas et al (2010) GEI + Radial integration transform Probability Xu et al (2012) GEI + Gabor-PDF Locality constrained group sparse representation Zhang et al (2010a) AEI + 2D locality preserving projections kNN + Euclidean distance Huang and Boulgouris (2012) SEI + Linear discriminant analysis -Chen et al Murase and Sakai (1996) Parametric eigenspace trajectories Spatiotemporal correlation Huang et al (1999) PMS + Canonical analysis Spatiotemporal correlation Wang et al (2003a;2003b) PMS Procrustes distance Zhang et al (2010b) PMS + Shape context kNN + Shape context distance Zheng et al (2011) VTM L1-norm distance Kusakunniran et al (2011a) PSC kNN + Procrustes distance Kusakunniran et al (2011b) HSC kNN + Procrustes distance Mowbray and Nixon (2003) Fourier descriptors kNN + Euclidean distance Tian et al (2004) Fourier descriptors DTW Lu et al (2008) Fourier descriptors (key frame profile) kNN Yuan et al (2015) Fourier descriptors (key frame) Canonical Time Warping Ohara et al (2004) 3D Fourier descriptors Cross correlation Choudhury and Tjahjadi (2012) PMS + elliptical Fourier descriptors Procrustes distance + dissimilarity score Lee et al (2013) Circular shifting + Interpolation + Fourier descriptor Product of Fourier coefficients Boulgouris and Chi (2007) Radon transform + LDA Euclidean distance Table 5. Summary of model-free approaches (distribution-based representation) Literature Gait features Classifier/distance metric …”