Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9783731507819
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Karlsruhe, Karlsruher Institut für Technologie (KIT), Dissertation, 2017
- Erschienen in
-
Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe ; 35
- Schlagwort
-
Radar
Random noise theory
Motion
Fusion
Management
- Ereignis
-
Veröffentlichung
- (wo)
-
Karlsruhe
- (wer)
-
KIT Scientific Publishing
- (wann)
-
2018
- Urheber
- DOI
-
10.5445/KSP/1000081430
- URN
-
urn:nbn:de:0072-814306
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:55 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Grinberg, Michael
- KIT Scientific Publishing
Entstanden
- 2018
Ähnliche Objekte (12)
Grid-based object tracking
Grid-based object tracking
LiDAR-Based Object Tracking and Shape Estimation
Modeling for part-based visual object detection based on local features
Modeling for part-based visual object detection based on local features
Feature-based Similarity Search in 3D Object Databases
Information based universal feature extraction and object recognition
Prediction of Object Position based on Probabilistic Qualitative Spatial Relations
Graph-based feature extraction on object-centric event logs
New approaches for object tracking and image-based quality control
Large-scale probabilistic feature mapping and tracking for autonomous driving
Inferring object hypotheses based on feature motion from different sources
Grid-based object tracking
Grid-based object tracking
LiDAR-Based Object Tracking and Shape Estimation
Modeling for part-based visual object detection based on local features
Modeling for part-based visual object detection based on local features
Feature-based Similarity Search in 3D Object Databases
Information based universal feature extraction and object recognition
Prediction of Object Position based on Probabilistic Qualitative Spatial Relations
Graph-based feature extraction on object-centric event logs
New approaches for object tracking and image-based quality control
Large-scale probabilistic feature mapping and tracking for autonomous driving
Inferring object hypotheses based on feature motion from different sources
Grid-based object tracking
Grid-based object tracking
LiDAR-Based Object Tracking and Shape Estimation
Modeling for part-based visual object detection based on local features
Modeling for part-based visual object detection based on local features
Feature-based Similarity Search in 3D Object Databases
Information based universal feature extraction and object recognition
Prediction of Object Position based on Probabilistic Qualitative Spatial Relations
Graph-based feature extraction on object-centric event logs
New approaches for object tracking and image-based quality control
Large-scale probabilistic feature mapping and tracking for autonomous driving