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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Bibliographic Details
Main Author: Grinberg, Michael (auth)
Format: Electronic Book Chapter
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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DOAB: description of the publication
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245 1 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 gestörte Detektionenfeature-based 
653 |a probabilistic 
653 |a merkmalsbasiert 
653 |a probabilistisch 
653 |a Datenassoziation 
653 |a object tracking 
653 |a corrupted detections 
653 |a data association 
653 |a Objektverfolgung 
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