43 citations · 76 across the 6 of their papers we have counts for
Showing 2017 · cs.CVShow all
3 papers · 2 filters
cs.CV2017★ 43 cited
Gait Recognition from Motion Capture Data
Michal Balazia, Petr Sojka
Gait recognition from motion capture data, as a pattern classification discipline, can be improved by the use of machine learning. This paper contributes to the state-of-the-art wi…
cs.CV2017★ 1 cited
You Are How You Walk: Uncooperative MoCap Gait Identification for Video Surveillance with Incomplete and Noisy Data
Michal Balazia, Petr Sojka
This work offers a design of a video surveillance system based on a soft biometric -- gait identification from MoCap data. The main focus is on two substantial issues of the video…
cs.CV2017★ 7 cited
An Evaluation Framework and Database for MoCap-Based Gait Recognition Methods
Michal Balazia, Petr Sojka
As a contribution to reproducible research, this paper presents a framework and a database to improve the development, evaluation and comparison of methods for gait recognition fro…