Gait is a unique biometric trait with several useful properties. It can be recognized remotely
and without the cooperation of the individual, with low-resolution cameras, and it is difficult to …

Despite the growing worries expressed by privacy supporters about the extensive adoption
of gait biometrics, research in this field has been moving forward swiftly. Deep learning, a …

Station passenger float forecasting is a normal spatio-temporal statistics forecasting
problem. Effectively capturing comprehensive spatio-temporal correlations in such data …

In this paper we analyzed gait recognition approach for people identification. A gait
recognition represents an interesting way for people identification or verification. Many …

In this paper, we present an example of solution for obtaining some key elements required
for people identification or re-identification. During an identification or re-identification …

In this paper we present some features that may be used in person gait recognition
applications. Gait recognition is an interesting way of people identification. During a gait …

In this paper, an analysis was performed in the context of gait recognition. Gait recognition is
an approach for people identification based on the gait characteristics of a person. Gait …

Gait phase recognition has been shown to facilitate the analysis of gait feature, evaluation of
ankle rehabilitation, and assessment of physical ability. However, the efficiency of gait phase …

Person Re-ID is challenged by background clutter, body misalignment and part missing. In
this paper, we propose a reliable part-based multiple levels attention deep network to learn …

Gait recognition is a promising biometric modality due to its non-invasive nature and
difficulty to disguise. However, the performance still lacks compared to other, well …