01945nam 2200421z- 450 9910346954403321202102111000081430(CKB)4920000000100978(oapen)https://directory.doabooks.org/handle/20.500.12854/47470(oapen)doab47470(EXLCZ)99492000000010097820202102d2018 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierFeature-Based Probabilistic Data Association for Video-Based Multi-Object TrackingKIT Scientific Publishing20181 online resource (XXII, 256 p. p.)Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe3-7315-0781-1 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 or missed detections, which are due to sensory or algorithmic restrictions, limited field of view of the sensors, as well as occlusion situations.corrupted detectionsdata associationDatenassoziationgestörte Detektionenfeature-basedmerkmalsbasiertobject trackingObjektverfolgungprobabilisticprobabilistischGrinberg Michaelauth1304729BOOK9910346954403321Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking3027665UNINA