Cover Image

Anomaliedetektion in räumlich-zeitlichen Datensätzen

Show other versions (1)

Human support in surveillance tasks is crucial due to the overwhelming amount of sensor data. This work focuses on the development of data fusion methods using the maritime domain as an example. Various anomalies are investigated, evaluated using real vessel traffic data and tested with experts. For...

Full description

Saved in:
Bibliographic Details
Main Author: Anneken, Mathias (auth)
Format: Electronic Book Chapter
Published: KIT Scientific Publishing 2023
Series:Karlsruher Schriften zur Anthropomatik 51
Subjects:
Maths for computer scientists
spatio-temporal data; situation analysis; anomaly detection; räumlich-zeitliche Daten; Maritime Überwachung; Anomaliedetektion; maritime surveillance; Situationsanalyse; machine learning; Maschinelles Lernen
Online Access:OAPEN Library: download the publication
OAPEN Library: description of the publication
Tags: Add Tag
No Tags, Be the first to tag this record!
Show all versions (2)

Similar Items