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Michael Arens
Michael Arens
Verified email at iosb.fraunhofer.de
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Cited by
Cited by
Year
The visual object tracking vot2015 challenge results
M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ...
Proceedings of the IEEE international conference on computer vision …, 2015
21702015
Analysis of explainers of black box deep neural networks for computer vision: A survey
V Buhrmester, D Münch, M Arens
Machine Learning and Knowledge Extraction 3 (4), 966-989, 2021
4552021
The thermal infrared visual object tracking VOT-TIR2015 challenge results
RP Michael Felsberg, Amanda Berg, Gustav Hager, Jorgen Ahlberg, Matej ...
Proceedings of the IEEE International Conference on Computer Vision …, 2015
1982015
The visual object tracking vot2016 challenge results
G Roffo, S Melzi
Computer Vision--ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016
180*2016
Author 8
TP Michael, TP Michael
crops 24 (25), 26, 1984
1721984
Online multi-person tracking using integral channel features
H Kieritz, S Becker, W Hübner, M Arens
2016 13th IEEE International Conference on Advanced Video and Signal Based …, 2016
1182016
Computer vision for medical infant motion analysis: State of the art and rgb-d data set
N Hesse, C Bodensteiner, M Arens, UG Hofmann, R Weinberger, ...
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
962018
An evaluation of trajectory prediction approaches and notes on the trajnet benchmark
S Becker, R Hug, W Hübner, M Arens
arXiv preprint arXiv:1805.07663, 2018
942018
Change detection in urban areas by object-based analysis and on-the-fly comparison of multi-view ALS data
M Hebel, M Arens, U Stilla
ISPRS Journal of Photogrammetry and Remote Sensing 86, 52-64, 2013
922013
Learning an infant body model from RGB-D data for accurate full body motion analysis
N Hesse, S Pujades, J Romero, MJ Black, C Bodensteiner, M Arens, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
902018
An approach to extract moving objects from MLS data using a volumetric background representation
J Gehrung, M Hebel, M Arens, U Stilla
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017
882017
Lidar-based detection and tracking of small UAVs
M Hammer, M Hebel, M Laurenzis, M Arens
Emerging Imaging and Sensing Technologies for Security and Defence III; and …, 2018
842018
Person re-identification in multi-camera networks
K Jüngling, C Bodensteiner, M Arens
CVPR 2011 WORKSHOPS, 55-61, 2011
822011
Red: A simple but effective baseline predictor for the trajnet benchmark
S Becker, R Hug, W Hubner, M Arens
Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018
802018
Feature based person detection beyond the visible spectrum
K Jungling, M Arens
2009 IEEE Computer Society Conference on Computer Vision and Pattern …, 2009
802009
Learning and tracking the 3D body shape of freely moving infants from RGB-D sequences
N Hesse, S Pujades, MJ Black, M Arens, UG Hofmann, AS Schroeder
IEEE transactions on pattern analysis and machine intelligence 42 (10), 2540 …, 2019
722019
Low-cost commodity depth sensor comparison and accuracy analysis
T Breuer, C Bodensteiner, M Arens
Electro-optical remote sensing, photonic technologies, and applications VIII …, 2014
582014
Local feature based person reidentification in infrared image sequences
KK Jüngling, M Arens
2010 7th IEEE International Conference on Advanced Video and Signal Based …, 2010
552010
Behavioral knowledge representation for the understanding and creation of video sequences
M Arens, HH Nagel
Annual Conference on Artificial Intelligence, 149-163, 2003
552003
Particle-based pedestrian path prediction using LSTM-MDL models
R Hug, S Becker, W Hübner, M Arens
2018 21st international conference on intelligent transportation systems …, 2018
522018
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