Gait recognition has emerged as an attractive biometric technology for the identification of
people by analysing the way they walk. However, one of the main challenges of the …

This paper reviews the state of the art in visual privacy protection techniques, with particular
attention paid to techniques applicable to the field of Active and Assisted Living (AAL). A …

As a unique biometric feature that can be recognized at a distance, gait has broad
applications in crime prevention, forensic identification and social security. To portray a gait …

Gait is a unique biometric feature that can be recognized at a distance; thus, it has broad
applications in crime prevention, forensic identification, and social security. To portray a gait …

This paper describes the world's largest gait database with wide view variation, the “OU-ISIR
gait database, multi-view large population dataset (OU-MVLP)”, and its application to a …

Gait, the walking pattern of individuals, is one of the most important biometrics modalities.
Most of the existing gait recognition methods take silhouettes or articulated body models as …

This paper proposes a method of gait recognition using a convolutional neural network
(CNN). Inspired by the great successes of CNNs in image recognition tasks, we feed in the …

Current person re-identification (re-id) methods typically rely on single-frame imagery
features, and ignore space-time information from image sequences. Single-frame (single …

This paper describes the world's largest gait database-the “OU-ISIR Gait Database, Large
Population Dataset”-and its application to a statistically reliable performance evaluation of …

Current person re-identification (ReID) methods typically rely on single-frame imagery
features, whilst ignoring space-time information from image sequences often available in the …