Frontal view gait recognition for people identification has been carried out using single RGB,
stereo RGB, Kinect 1.0, and Doppler radar. However, existing methods based on these …

The efficacy of human activity recognition (HAR) models mostly relies on the characteristics
derived from domain expertise. The input of the classification algorithm consists of many …

The k-nearest neighbors classifier is one of the most frequently used. It has several
interesting properties, though it cannot be used in utilitarian biometric systems. This paper …

Studies have been carried out to recognize individuals from a frontal view using their gait
patterns. In previous work, gait sequences were captured using either single or stereo RGB …

This paper presents a practical approach to person recognition by gait. The biometric system
is based on ground reaction forces and positions of the center of pressure generated during …

Nowadays, video is a primary information carrier in www (world wild web) and moving
objects are often carrying more information. But it is hard to catch these objects in video …

We propose a new method for view-invariant gait modeling using a single calibrated
camera. Piecewise-continuous body parts trajectories extracted from a video sequence are …

The paper presents an analysis concerning the influence of selected psychophysical
parameters on the quality of human gait recognition. The following factors have been taken …

This paper presents a practical approach to person recognition by gait. The biometric system
is based on ground reaction force (GRF) and positions of the center of pressure (COP) …

Nowadays, multimedia, especially video, is used widely in many domains. But camera lens
are easily stained because they are always outside, such as in traffic and monitoring …