Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jan Giebel"'
Autor:
Magdalena Bushart, Ambra Frank, Christian Fuhrmeister, Jan Giebel, Arie Hartog, Christina Irrgang, Bernhard Maaz, Olaf Peters, Kathleen Reinhardt, Wolfgang Schöddert, Dorothea Schöne, Paula Schwerdtfeger, Aya Soika, Maike Steinkamp, Elisa Tamaschke, Anja Tiedemann, Gesa Jeuthe Vietzen, Julia Wallner
Georg Kolbe (1877–1947), one of the most important sculptors of the first half of the 20th century in Germany, was an important representative of classical modernism. However, his activities during National Socialism have not yet been fully explore
Autor:
Magdalena Bushart, Ambra Frank, Christian Fuhrmeister, Jan Giebel, Arie Hartog, Christina Irrgang, Bernhard Maaz, Olaf Peters, Kathleen Reinhardt, Wolfgang Schöddert, Dorothea Schöne, Paula Schwerdtfeger, Aya Soika, Maike Steinkamp, Elisa Tamaschke, Anja Tiedemann, Gesa Jeuthe Vietzen, Julia Wallner
Georg Kolbe (1877–1947) ist einer der bedeutendsten Bildhauer der ersten Hälfte des 20. Jahrhunderts in Deutschland und ein wichtiger Vertreter der klassischen Moderne. Insbesondere sein Wirken während des Nationalsozialismus ist bisher nicht vol
Die Ausstellung widmet sich dem progressiven Künstler Paul Gangolf, der in europäischen Metropolen wirkte und 1936 im KL Esterwegen ermordet wurde. Paul Gangolf, der eigentlich Paul Löwy hieß und jüdischer Religion war, wurde 1879 in Königsberg
Publikováno v:
2008 IEEE Intelligent Vehicles Symposium.
We propose a method for fusing two modalities of information for speed limit assistants: (i) camera based speed sign recognition and (ii) digitized speed limit maps combined with a GPS sensor. The fusion is based on a Bayesian framework. Here, we rel
Publikováno v:
2008 IEEE Intelligent Vehicles Symposium.
In this paper a camera-based system for detection, tracking, and classification of U.S. speed signs is presented. The implemented application uses multiple connected stages and iteratively reduces the number of pixels to process for recognition. Poss
Autor:
Dariu M. Gavrila, Jan Giebel
Publikováno v:
CVPR (1)
This paper presents a method for improving the performance of matching systems that correlate using shape templates. The basic idea involves extending an existing set of training shapes with generated "virtual" shapes, in order to improve representat
Publikováno v:
IEEE Intelligent Vehicles Symposium, 2004.
This paper presents the results of the first large-scale field tests on vision-based pedestrian protection from a moving vehicle. Our PROTECTOR system combines pedestrian detection, trajectory estimation, risk assessment and driver warning. The paper
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540219811
ECCV (4)
ECCV (4)
This paper presents a Bayesian framework for multi-cue 3D object tracking of deformable objects. The proposed spatio-temporal object representation involves a set of distinct linear subspace models or Dynamic Point Distribution Models (DPDMs), which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56774a7354e54afaf78caefc54edd55c
https://doi.org/10.1007/978-3-540-24673-2_20
https://doi.org/10.1007/978-3-540-24673-2_20
Autor:
Dariu M. Gavrila, Jan Giebel
Publikováno v:
Intelligent Vehicle Symposium, 2002. IEEE.
This paper presents a large scale experimental study on pedestrian detection. The focus of the study is the Chamfer System, a generic system for shape-based object recognition. Matching involves a simultaneous coarse-to-fine approach over a template
Autor:
Dariu M. Gavrila, Jan Giebel
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540442097
DAGM-Symposium
DAGM-Symposium
This paper addresses the problem of multimodal shape-based object tracking with learned spatio-temporal representations. Multimodality is considered both in terms of shape representation and in terms of state propagation. Shape representation involve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54d6b2403c9d3a02d6e3b65ac8d0913e
https://doi.org/10.1007/3-540-45783-6_1
https://doi.org/10.1007/3-540-45783-6_1