Detecting human beings accurately in a visual surveillance system is crucial for diverse
application areas including abnormal event detection, human gait characterization …

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 …

Visual surveillance in dynamic scenes, especially for humans and vehicles, is currently one
of the most active research topics in computer vision. It has a wide spectrum of promising …

Human identification at a distance has recently gained growing interest from computer vision
researchers. Gait recognition aims essentially to address this problem by identifying people …

We present an approach for estimating the period with which an action is repeated in a
video. The crux of the approach lies in constraining the period prediction module to use …

The rifting of continents involves faulting (tectonism) and magmatism, which reflect the strain-
rate and temperature dependent processes of solid–state deformation and decompression …

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

Gait analyses have recently gained attention as methods of identification of individuals at a
distance from a camera. However, appearance changes due to view direction changes …

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