Stefan Becker
Stefan Becker
Verified email at iosb.fraunhofer.de - Homepage
Title
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
11072015
The thermal infrared visual object tracking VOT-TIR2015 challenge results
M Felsberg, A Berg, G Hager, J Ahlberg, M Kristan, J Matas, A Leonardis, ...
2015 IEEE International Conference on Computer Vision Workshop (ICCVW), 639-651, 2015
982015
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
842016
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
262018
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
262018
Mad for visual tracker fusion
S Becker, SB Krah, W Hübner, M Arens
Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XII …, 2016
192016
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), 0-0, 2018
162018
On the reliability of lstm-mdl models for pedestrian trajectory prediction
R Hug, S Becker, W Hübner, M Arens
International Workshop on Representations, Analysis and Recognition of Shape …, 2017
82017
Towards a real-time situational awareness system for surveillance applications in unconstrained environments
D Münch, S Becker, W Hübner, M Arens
Future Security Research Conference, 517-521, 2012
72012
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
62015
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
52016
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
42016
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
International Conference on Image and Signal Processing, 3-11, 2016
32016
An evaluation of background subtraction algorithms on fused infrared-visible video streams
S Becker, N Scherer-Negenborn, P Thakkar, W Hubner, M Arens
2015 International Conference on Digital Image Computing: Techniques and …, 2015
32015
Towards Situational Awareness Systems based on Semi-Stationary Multi-Camera Components
D Münch, S Becker, AK Grosselfinger, W Hübner, M Arens
Proc. of the 8th Future Security Research Conference, Berlin, Germany, 2013
32013
An implicit shape model based approach to identify armed persons
S Becker, K Jüngling
Automatic Target Recognition XXI 8049, 80490O, 2011
22011
Hierarchical object detection and tracking with an Implicit Shape Model
K Jüngling, S Becker, M Arens
Proceedings of the International Conference on Image Processing, Computer …, 2011
22011
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
12020
State estimation for tracking in image space with a de-and re-coupled IMM filter
S Becker, W Hübner, M Arens
Multimedia Tools and Applications 77 (15), 20207-20226, 2018
12018
Robust visual object tracking with interleaved segmentation
P Abel, H Kieritz, S Becker, M Arens
Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies …, 2017
12017
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Articles 1–20