D
2017
You Are How You Walk: Uncooperative MoCap Gait Identification for Video Surveillance with Incomplete and Noisy Data
BALÁŽIA, Michal a Petr SOJKA
Základní údaje
Originální název
You Are How You Walk: Uncooperative MoCap Gait Identification for Video Surveillance with Incomplete and Noisy Data
Autoři
BALÁŽIA, Michal (703 Slovensko, garant, domácí) a Petr SOJKA (203 Česká republika, domácí)
Vydání
USA, Proceedings of the 3rd IEEE/IAPR International Joint Conference on Biometrics (IJCB 2017), od s. 208-215, 8 s. 2017
Další údaje
Typ výsledku
Stať ve sborníku
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
elektronická verze "online"
Kód RIV
RIV/00216224:14330/17:00097675
Organizace
Fakulta informatiky – Masarykova univerzita – Repozitář
Klíčová slova česky
rozpoznávání podle chůze
Klíčová slova anglicky
gait recognition
Návaznosti
MUNI/A/0992/2016, interní kód Repo. MUNI/A/0997/2016, interní kód Repo.
V originále
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 surveillance scenario: (1) the walkers do not cooperate in providing learning data to establish their identities and (2) the data are often noisy or incomplete. We show that only a few examples of human gait cycles are required to learn a projection of raw MoCap data onto a low-dimensional sub-space where the identities are well separable. Latent features learned by Maximum Margin Criterion (MMC) method discriminate better than any collection of geometric features. The MMC method is also highly robust to noisy data and works properly even with only a fraction of joints tracked. The overall workflow of the design is directly applicable for a day-to-day operation based on the available MoCap technology and algorithms for gait analysis. In the concept we introduce, a walker's identity is represented by a cluster of gait data collected at their incidents within the surveillance system: They are how they walk.
Zobrazeno: 20. 10. 2024 05:14