Datenbestand vom 10. Dezember 2024
Verlag Dr. Hut GmbH Sternstr. 18 80538 München Tel: 0175 / 9263392 Mo - Fr, 9 - 12 Uhr
aktualisiert am 10. Dezember 2024
978-3-8439-4860-9, Reihe Elektrotechnik
Maryam Babaee Multiple People Tracking and Gait Recognition for Video Surveillance
159 Seiten, Dissertation Technische Universität München (2021), Softcover, A5
This thesis tackles the problems of multiple people tracking and gait recognition with a focus on occlusion handling in video surveillance. For the tracking, the proposed method adopts a hierarchical way of tracking along with a robust re-identification module, which produces affinity measures for data association. For gait recognition, two issues are addressed: 1) incomplete gait cycles, by presenting a fully convolutional network to restore complete gait cycles and 2) view variation, by proposing a variant of the non-negative matrix factorization algorithm.