Auflistung nach Schlagwort "Computer vision"

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  • Probabilistic multi-person tracking using dynamic bayes networks 
    Klinger, Tobias; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2015)
    Tracking-by-detection is a widely used practice in recent tracking systems. These usually rely on independent single frame detections that are handled as observations in a recursive estimation framework. If these observations ...
  • Qtrajectories: improving the quality of object tracking using self-organizing camera networks 
    Jaenen, Uwe; Feuerhake, Udo; Klinger, Tobias; Muhle, Daniel; Haehner, Joerg; Sester, Monika; Heipke, Christian (Göttingen : Copernicus GmbH, 2012)
    Previous work in the research field of video surveillance intensively focused on separated aspects of object detection, data association, pattern recognition and system design. In contrast, we propose a holistic approach ...
  • Relative pose estimation using image feature triplets 
    Chuang, Tzu-Yi; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2015)
    A fully automated reconstruction of the trajectory of image sequences using point correspondences is turning into a routine practice. However, there are cases in which point features are hardly detectable, cannot be localized ...
  • RGB-D microtopography: A comprehensive dataset for surface analysis and characterization techniques 
    Siemens, Stefan; Kästner, Markus; Reithmeier, Eduard (Amsterdam [u.a.] : Elsevier, 2023)
    The dataset presented contains microtopographies of various materials and processing methods. These microtopographies were measured using a Confocal Laser Scanning Microscope, which provides RGB-D data. This means the ...
  • Rich probabilistic models for semantic labeling 
    Yang, Michael Ying (Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2016)
    Das Ziel dieser Monographie ist es die Methoden und Anwendungen des semantischen Labelings zu erforschen. Unsere Beiträge zu diesem sich rasch entwickelten Thema sind bestimmte Aspekte der Modellierung und der Inferenz in ...
  • Skyline matching based camera orientation from images and mobile mapping point clouds 
    Hofmann, Sabine; Eggert, Daniel; Brenner, Claus (Göttingen : Copernicus GmbH, 2014)
    Mobile Mapping is widely used for collecting large amounts of geo-referenced data. An important role plays sensor fusion, in order to evaluate multiple sensors such as laser scanner and cameras jointly. This requires to ...
  • Studying bias in visual features through the lens of optimal transport 
    Fabbrizzi, Simone; Zhao, Xuan; Krasanakis, Emmanouil; Papadopoulos, Symeon; Ntoutsi, Eirini (Dordrecht [u.a.] : Springer Science + Business Media B.V, 2023)
    Computer vision systems are employed in a variety of high-impact applications. However, making them trustworthy requires methods for the detection of potential biases in their training data, before models learn to harm ...
  • Unsupervised quantification of entity consistency between photos and text in real-world news 
    Müller-Budack, Eric (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022)
    Das World Wide Web und die sozialen Medien übernehmen im heutigen Informationszeitalter eine wichtige Rolle für die Vermittlung von Nachrichten und Informationen. In der Regel werden verschiedene Modalitäten im Sinne der ...
  • Using Object Detection on Social Media Images for Urban Bicycle Infrastructure Planning: A Case Study of Dresden 
    Knura, Martin; Kluger, Florian; Zahtila, Moris; Schiewe, Jochen; Rosenhahn, Bodo; Burghardt, Dirk (Basel : MDPI, 2021)
    With cities reinforcing greener ways of urban mobility, encouraging urban cycling helps to reduce the number of motorized vehicles on the streets. However, that also leads to a significant increase in the number of bicycles ...
  • Using Semantic Distance to Support Geometric Harmonisation of Cadastral and Topographical Data 
    Schulze, Malte Jan; Thiemann, Frank; Sester, Monika (Göttingen : Copernicus GmbH, 2014)
    In the context of geo-data infrastructures users may want to combine data from different sources and expect consistent data. If both datasets are maintained separately, different capturing methods and intervals leads to ...