Gait analysis for recognition and classification

Combining Wavelet Velocity Moments and Reflective Symmetry for Gait Recognition

“…Noisy segmentation results bring about great impact on feature training and extraction, but it is less clear how much the silhouette type affects the recognition performance. As a whole, our method is comparable to the existing approaches in recognition accuracy, but far superior in observed execution times, the average is 1.6475min/seq, it outperforms [17][19] [20][21] [22]. Because data of gait database is huge, so in process of gait sequences, this is an advantage.…”

Virtually Cloning Real Human with Motion Style

“…They used a non-linear basis function to generalize multi linear models and a Gaussian process latent variable model to marginalize over the weights. Human identification based on gait analysis has been widely studied [18] [6] [10]. Gait, which can be regarded as a walking style, does convey information on the identity of a person.…”

Active Shape Model-Based Gait Recognition Using Infrared Images

“…unwrapped silhouette [8]; silhouette similarity [9]; relational statistics [10]; self similarity [11]; key frame analysis [12]; frieze patterns [13]; area [14]; symmetry [15]; key poses [16] eigenspace sequences [19]; average silhouette [20]; moments [21]; ellipsoidal fits [22]; kinematic features [23]; gait style and content [24] stride parameters [25]; human parameters [26]; joint trajectories [27]; hidden Markov model [28][29]; articulated model [32]; dual oscillator [33]; linked feature trajectories [34] video oscillations [30] Accurate infrared target tracking is critical in many military weapons systems where common knowledge indicates that improving infrared target detection and tracking has the potential to simultaneously minimize unwanted collateral damage and maximize the probability of successful target elimination [35].…”