Gait Sequen e Analysis using Frieze Patterns ?
نویسندگان
چکیده
منابع مشابه
Gait Sequence Analysis Using Frieze Patterns
We analyze walking people using a gait sequence representation that bypasses the need for frame-to-frame tracking of body parts. The gait representation maps a video sequence of silhouettes into a pair of two-dimensional spatio-temporal patterns that are periodic along the time axis. Mathematically, such patterns are called “frieze” patterns and associated symmetry groups “frieze groups”. With ...
متن کاملUniprojective Features for Gait Recognition
Recent studies have shown that shape cues should dominate gait recognition. This motivates us to perform gait recognition through shape features in 2D human silhouettes. In this paper, we propose six simple projective features to describe human gait and compare eight kinds of projective features to figure out which projective directions are important to walker recognition. First, we normalize e...
متن کاملVertical Ground Reaction Force Gait Patterns During Walking in Children with Autism Spectrum Disorders
The characteristics of vertical ground reaction force (VGRF) gait patterns in children with autism spectrum disorders (ASD) are poorly understood. The purpose of this study was to identify VGRF gait features that discriminate between children with ASD and the peer control group. The VGRF data were obtained from 30 children with ASD and 30 normal healthy children aged 4 to 12 years. A three-dime...
متن کاملTitle of dissertation : SYMMETRY IN HUMAN MOTION ANALYSIS : THEORY AND EXPERIMENT
Title of dissertation: SYMMETRY IN HUMAN MOTION ANALYSIS: THEORY AND EXPERIMENT Yang Ran, Doctor of Philosophy, 2006 Dissertation directed by: Professor Rama Chellappa Department of Electrical Computer Engineering Video based human motion analysis has been actively studied over the past decades. We propose novel approaches that are able to analyze human motion under such challenges and apply th...
متن کاملAssessment of gait patterns using neural networks.
A new approach for the assessment of gait patterns is presented. The use of neural network techniques for decision making in gait analysis is for some purposes more effective than biomechanical methods or conventional statistics. To demonstrate this, a neural network was trained to distinguish 'healthy' from 'pathological' gait. The algorithm presented here can be used for several purposes beca...
متن کامل