Walker-Independent Features for Gait Recognition from Motion Capture Data

09/22/2016
by   Michal Balazia, et al.
0

MoCap-based human identification, as a pattern recognition discipline, can be optimized using a machine learning approach. Yet in some applications such as video surveillance new identities can appear on the fly and labeled data for all encountered people may not always be available. This work introduces the concept of learning walker-independent gait features directly from raw joint coordinates by a modification of the Fisher Linear Discriminant Analysis with Maximum Margin Criterion. Our new approach shows not only that these features can discriminate different people than who they are learned on, but also that the number of learning identities can be much smaller than the number of walkers encountered in the real operation.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/14/2016

Learning Robust Features for Gait Recognition by Maximum Margin Criterion

In the field of gait recognition from motion capture data, designing hum...
research
06/28/2017

You Are How You Walk: Uncooperative MoCap Gait Identification for Video Surveillance with Incomplete and Noisy Data

This work offers a design of a video surveillance system based on a soft...
research
08/24/2017

Gait Recognition from Motion Capture Data

Gait recognition from motion capture data, as a pattern classification d...
research
01/04/2017

An Evaluation Framework and Database for MoCap-Based Gait Recognition Methods

As a contribution to reproducible research, this paper presents a framew...
research
01/26/2016

Fisher Motion Descriptor for Multiview Gait Recognition

The goal of this paper is to identify individuals by analyzing their gai...
research
06/26/2020

Person Re-identification by analyzing Dynamic Variations in Gait Sequences

Gait recognition is a biometric technology that identifies individuals i...
research
10/09/2018

A Family of Maximum Margin Criterion for Adaptive Learning

In recent years, pattern analysis plays an important role in data mining...

Please sign up or login with your details

Forgot password? Click here to reset