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Stefan Becker
Stefan Becker
Verified email at iosb.fraunhofer.de - Homepage
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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
21032015
The thermal infrared visual object tracking VOT-TIR2015 challenge results
M Felsberg, A Berg, G Hager, J Ahlberg, M Kristan, J Matas, A Leonardis, ...
Proceedings of the ieee international conference on computer vision …, 2015
1692015
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
1142016
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
802018
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
712018
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
472018
Mad for visual tracker fusion
S Becker, SB Krah, W Hübner, M Arens
Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XII …, 2016
202016
On the reliability of LSTM-MDL models for pedestrian trajectory prediction
R Hug, S Becker, W Hübner, M Arens
Representations, Analysis and Recognition of Shape and Motion from Imaging …, 2019
162019
Quantifying the complexity of standard benchmarking datasets for long-term human trajectory prediction
R Hug, S Becker, W Hübner, M Arens
IEEE Access 9, 77693-77704, 2021
102021
An RNN-based IMM filter surrogate
S Becker, R Hug, W Hübner, M Arens
Scandinavian Conference on Image Analysis, 387-398, 2019
102019
Detecting abandoned objects using interacting multiple models
S Becker, D Münch, H Kieritz, W Hübner, M Arens
Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XI …, 2015
82015
Integration of the 3d environment for UAV onboard visual object tracking
S Vujasinović, S Becker, T Breuer, S Bullinger, N Scherer-Negenborn, ...
Applied Sciences 10 (21), 7622, 2020
72020
A short note on analyzing sequence complexity in trajectory prediction benchmarks
R Hug, S Becker, W Hübner, M Arens
arXiv preprint arXiv:2004.04677, 2020
72020
Detection of infrastructure manipulation with knowledge-based video surveillance
D Muench, B Hilsenbeck, H Kieritz, S Becker, AK Grosselfinger, ...
Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XII …, 2016
62016
Towards a real-time situational awareness system for surveillance applications in unconstrained environments
D Münch, S Becker, W Hübner, M Arens
Future Security: 7th Security Research Conference, Future Security 2012 …, 2012
62012
Generating synthetic training data for deep learning-based UAV trajectory prediction
S Becker, R Hug, W Hübner, M Arens, BT Morris
arXiv preprint arXiv:2107.00422, 2021
52021
The effects of camera jitter for background subtraction algorithms on fused infrared-visible video streams
S Becker, N Scherer-Negenborn, P Thakkar, W Hübner, M Arens
Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XII …, 2016
52016
The first visual object tracking segmentation vots2023 challenge results
M Kristan, J Matas, M Danelljan, M Felsberg, HJ Chang, LČ Zajc, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
42023
MissFormer:(In-) attention-based handling of missing observations for trajectory filtering and prediction
S Becker, R Hug, W Huebner, M Arens, BT Morris
International Symposium on Visual Computing, 521-533, 2021
42021
On the benefit of state separation for tracking in image space with an interacting multiple model filter
S Becker, H Kieritz, W Hübner, M Arens
Image and Signal Processing: 7th International Conference, ICISP 2016, Trois …, 2016
42016
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