TY - BOOK ID - 138512387 TI - Objektsensitive Verfolgung und Klassifikation von Fußgängern mit verteilten Multi-Sensor-Trägern PY - 2016 PB - KIT Scientific Publishing DB - UniCat 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 UR - https://www.unicat.be/uniCat?func=search&query=sysid:138512387 AB - 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. ER -