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

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...

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Format: eBook
Language:English
Published: KIT Scientific Publishing 2018
Series:Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
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Online Access:Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication
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245 0 0 |a Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking 
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520 |a 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. 
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653 |a corrupted detections 
653 |a data association 
653 |a Datenassoziation 
653 |a gestörte Detektionenfeature-based 
653 |a merkmalsbasiert 
653 |a object tracking 
653 |a Objektverfolgung 
653 |a probabilistic 
653 |a probabilistisch 
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856 4 0 |u https://www.ksp.kit.edu/9783731507819  |7 0  |z Open Access: DOAB, download the publication