Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking

• Главный автор: Grinberg, Michael (auth)
• Формат: Электронный ресурс Глава книги
• Язык: английский
• Опубликовано: KIT Scientific Publishing 2018
• Серии: Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
• Предметы: gestörte Detektionenfeature-based; probabilistic; merkmalsbasiert; probabilistisch; Datenassoziation; object tracking; corrupted detections; data association; Objektverfolgung
• Online-ссылка: DOAB: download the publication; DOAB: description of the publication

This work proposes a feature-based probabilistic data association and tracking approach (FBPDATA) for multi-object tracking. FBPDATA is based on re-identification and tracking of individual video image points (feature points) and aims at solving the problems of partial, split (fragmented), bloated o...