Free-view gait recognition

• Published in: PloS one Vol. 14; no. 4; p. e0214389
• Main Authors: Tian, Yonghong, Wei, Lan, Lu, Shijian, Huang, Tiejun
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 16.04.2019; Public Library of Science (PLoS)
• Subjects: Acoustics; Algorithms; Analysis; Biology and Life Sciences; Biometrics; Biometry; Cameras; Datasets; Engineering; Engineering and Technology; Facial Recognition - physiology; Gait; Gait - physiology; Gait Analysis - methods; Gait recognition; Humans; Identification; Laboratories; Manifolds; Mapping; Medicine and Health Sciences; Novels; Observations; Pattern recognition (Computers); Pattern Recognition, Automated; Physical Sciences; Research and Analysis Methods; Similarity; Social Sciences; Surveillance; Trajectory analysis; Transformation; Walking; Walking - physiology; China; Singapore

Human gait has been shown to be an effective biometric measure for person identification at a distance. On the other hand, changes in the view angle pose a major challenge for gait recognition as human gait silhouettes are usually different from different view angles. Traditionally, such a multi-vie...