TY  - GEN
AU  - Pallauf,Johannes
TI  - Objektsensitive Verfolgung und Klassifikation von Fußgängern mit verteilten Multi-Sensor-Trägern
SN  - KSP/1000054659
PY  - 2016///
PB  - KIT Scientific Publishing
KW  - Multi-Objekt-Verfolgung
KW  - verteilte Systeme
KW  - SensorenMulti-object-tracking
KW  - sensors
KW  - Objektklassifikation
KW  - object classification
KW  - pedestrian tracking
KW  - distributed systems
KW  - Personenverfolgung
N1  - Open Access
N2  - 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
UR  - https://www.ksp.kit.edu/9783731505297
UR  - https://directory.doabooks.org/handle/20.500.12854/55091
ER  -