Cover Image
Read Now

Objektsensitive Verfolgung und Klassifikation von Fußgängern mit verteilten Multi-Sensor-Trägern

State estimation of an unknown number of objects remains a challenging topic - despite the existence of theoretically bayes-optimal multi-object-filters - due to numerous assumptions in the modeling process. This thesis evaluates such filters in real multi-object-multi-sensor scenarios and proposes...

Full description

Bibliographic Details
Main Author: Pallauf, Johannes
Format: eBook
Published: KIT Scientific Publishing 2016
Series:Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
Subjects:
Distributed Systems
Personenverfolgung
Object Classification
Objektklassifikation
Verteilte Systeme
Sensorenmulti-object-tracking
Sensors
Pedestrian Tracking
Technology: General Issues / Bicssc
Multi-objekt-verfolgung
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:State estimation of an unknown number of objects remains a challenging topic - despite the existence of theoretically bayes-optimal multi-object-filters - due to numerous assumptions in the modeling process. This thesis evaluates such filters in real multi-object-multi-sensor scenarios and proposes necessary extensions to existing models. The main application of the thesis is indoor pedestrian tracking.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/
Physical Description:1 electronic resource (XI, 178 p. p.)
ISBN:9783731505297
1000054659

Similar Items