LEADER 01945nam  2200421z- 450 
001 9910346954403321
005 20210211
010   $a1000081430
035   $a(CKB)4920000000100978
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/47470
035   $a(oapen)doab47470
035   $a(EXLCZ)994920000000100978
100   $a20202102d2018      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aFeature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking
210   $cKIT Scientific Publishing$d2018
215   $a1 online resource (XXII, 256 p. p.)
225 1 $aKarlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
311 08$a3-7315-0781-1 
330   $aThis work proposes a feature-based probabilistic data association and tracking approach (FBPDATA) for multi-object tracking. FBPDATA is based on re-identification and tracking of individual video image points (feature points) and aims at solving the problems of partial, split (fragmented), bloated or missed detections, which are due to sensory or algorithmic restrictions, limited field of view of the sensors, as well as occlusion situations.
610   $acorrupted detections
610   $adata association
610   $aDatenassoziation
610   $agesto?rte Detektionenfeature-based
610   $amerkmalsbasiert
610   $aobject tracking
610   $aObjektverfolgung
610   $aprobabilistic
610   $aprobabilistisch
700   $aGrinberg$b Michael$4auth$01304729
906   $aBOOK
912   $a9910346954403321
996   $aFeature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking$93027665
997   $aUNINA