Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking
Buch in deiner Nähe kaufen
Beschreibung
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.
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.
Autor*in
Michael Grinberg
Themen in »Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking«
Datenassoziation corrupted detections object tracking probabilistic data association probabilistisch gestörte Detektionen Objektverfolgung merkmalsbasiert feature-based