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 …

Visual surveillance has exponentially increased the growth of security devices and systems
in the digital era. Gait-based person identification is an emerging biometric modality for …

Dimensionality reduction methods (DRs) have commonly been used as a principled way to
understand the high-dimensional data such as face images. In this paper, we propose a new …

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

Encouraged by the recent progress in pedestrian detection, we investigate the gap between
current state-of-the-art methods and the “perfect single frame detector”. We enable our …

In this paper, we propose a new image clustering algorithm, referred to as clustering using
local discriminant models and global integration (LDMGI). To deal with the data points …

The strength of gait, compared to other biometrics, is that it does not require cooperative
subjects. In previous work gait recognition approaches were evaluated using a gallery set …

Nonnegative matrix factorization (NMF) has become a popular data-representation method
and has been widely used in image processing and pattern-recognition problems. This is …

In this paper, we propose a novel gait representation—gait flow image (GFI) for use in gait
recognition. This representation will further improve recognition rates. The basis of GFI is the …

Hashing is becoming increasingly important in large-scale image retrieval for fast
approximate similarity search and efficient data storage. Many popular hashing methods aim …