In the digital world of today, global security issues have given rise to video surveillance
devices. Gait-based human recognition is an emerging behavioral biometric trait for …

Recognizing people by their gait has become more and more popular nowadays due to the
following reasons. First, gait recognition can work well remotely. Second, gait recognition …

The scientific literature on automated gait analysis for human recognition has grown
dramatically over the past 15 years. A number of sensing modalities including those based …

Multispectral pedestrian detection is an emerging solution with great promise in many
around-the-clock applications, such as automotive driving and security surveillance. To …

In this paper, we introduce a new type of sensing modality, the Dynamic Vision Sensors
(Event Cameras), for the task of gait recognition. Compared with the traditional RGB …

Faced with the growing population of seniors, developed countries need to establish new
healthcare systems to ensure the safety of elderly people at home. Computer vision provides …

We present a novel classifier network called STEP, to classify perceived human emotion
from gaits, based on a Spatial Temporal Graph Convolutional Network (ST-GCN) …

Gait Energy Image (GEI) is an efficient template for human identification by gait. However,
such a template loses temporal information in a gait sequence, which is critical to the …

Identifying users of portable devices from gait signals acquired with three-dimensional
accelerometers was studied. Three approaches, correlation, frequency domain and data …

Vision-based human identification at a distance has recently gained growing interest from
computer vision researchers. This paper describes a human recognition algorithm by …