Background-foreground segmentation for interior sensing in automotive industry

Background-foreground segmentation for interior sensing in automotive industry

Abstract To ensure safety in automated driving, the correct perception of the situation inside the car is as important as its environment. Thus, seat occupancy detection and classification of detected instances play an important role in interior sensing. By the knowledge of the seat occupancy status...

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Bibliographic Details
Main Authors: Claudia Drygala, Matthias Rottmann, Hanno Gottschalk, Klaus Friedrichs, Thomas Kurbiel
Format: Article
Language:English
Published: SpringerOpen 2022-12-01
Series:Journal of Mathematics in Industry
Subjects:
Background-foreground segmentation
Background subtraction
Interior sensing
Gaussian mixture model
Morphological snakes
Mask R-CNN
Online Access:https://doi.org/10.1186/s13362-022-00128-9

Internet

https://doi.org/10.1186/s13362-022-00128-9

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