Inhalt des Dokuments
Erik Bochinski, M.Sc.
Wissenschaftlicher Mitarbeiter
Technische Universität Berlin
Institut für Telekommunikationssysteme
Fachgebiet Nachrichtenübertragung
Sekr. EN 1
Einsteinufer 17
10587 Berlin
Raum: EN 367
Tel.: (030) 314 - 28504
E-Mail: bochinski@nue.tu-berlin.de
Sprechstunde: Nach Absprache
Auszeichnungen
VisDrone Challange Task 4b), Multi-Object tracking: V-IOU tracker (paper coming soon)
Erik Bochinski, Volker Eiselein and Thomas Sikora
High-Speed Tracking-by-Detection Without Using Image Information
International Workshop on Traffic and Street Surveillance for Safety and Security at IEEE AVSS 2017, Lecce, Italy, 29.08.2017
Code
Python implementation of the IOU Tracker described in the AVSS 2017 paper High-Speed Tracking-by-Detection Without Using Image Information.
A Tensorflow-based implementation of the Steered Mixture-of-Experts (SMoE) image modelling approach described in the ICIP 2018 paper Regularized Gradient Descent Training of Steered Mixture of Experts for Sparse Image Representation.
Veröffentlichungen
2019
- Maik Simon, Markus Küchhold, Tobias Senst, Erik Bochinski, Thomas Sikora
Video-based Bottleneck Detection utilizing Lagrangian Dynamics in Crowded Scenes
IEEE International Conference on Advanced Video and Signals-based Surveillance, 18.09.2019 - 21.09.2019
Details BibTeX - Rolf Jongebloed, Erik Bochinski, Lieven lange, Thomas Sikora
Quantized and Regularized Optimization for Coding Images Using Steered Mixtures-of-Experts
2019 Data Compression Conference (DCC), 2019
Details BibTeX
2018
- Erik Bochinski, Tobias Senst, Thomas Sikora
Extending IOU Based Multi-Object Tracking by Visual Information
IEEE International Conference on Advanced Video and Signals-based Surveillance, 27.11.2018 - 30.11.2018, pp. 441-446
ISBN: 978-1-5386-9294-3/18
Details BibTeX - Gregory Schröder, Tobias Senst, Erik Bochinski, Thomas Sikora
Optical Flow Dataset and Benchmark for Visual Crowd Analysis
IEEE International Conference on Advanced Video and Signals-based Surveillance, Auckland, New Zealand, 27.11.2018 - 30.11.2018, pp. 7-11
ISBN: 978-1-5386-9294-3/18
Details BibTeX - Siwei Lyu, Ming-Ching Chang, Dawei Du, Wenbo Li, Yi Wei, Marco Del Coco, Pierluigi Carcagnì, Arne Schumann, Bharti Munjal, Dinh-Quoc-Trung Dang, Doo-Hyun Choi, Erik Bochinski, Fabio Galasso, Filiz Bunyak, Guna Seetharaman,Jang-Woon Baek, Jong Taek Lee, Kannappan Palaniappan, Kil-Taek Lim, Kiyoung Moon, Kwang-Ju Kim, Lars Sommer, Meltem Brandlmaier, Min-Sung Kang, Moongu Jeon, Noor M. Al-Shakarji, Oliver Acatay, Pyong-Kun Kim, Sikandar Amin, Thomas Sikora, Tien Dinh, Tobias Senst, Vu-Gia-Hy Che, Young-Chul Lim, Young-min Song, and Yun-Su Chung
UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring
IEEE International Conference on Advanced Video and Signals-based Surveillance, Auckland, New Zealand, 27.11.2018 - 30.11.2018
ISBN: 978-1-5386-9294-3/18
Details BibTeX - Erik Bochinski, Rolf Jongebloed, Michael Tok, Thomas Sikora
Regularized Gradient Descent Training of Steered Mixture of Experts for Sparse Image Representation
IEEE International Conference on Image Processing (ICIP), Athens, Greece, 07.10.2018 - 10.10.2018
DOI: 10.1109/ICIP.2018.8451823 Electronic ISBN: 978-1-4799-7061-2 Print on Demand(PoD) ISBN: 978-1-4799-7062-9 Electronic ISSN: 2381-8549
Details BibTeX - Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Hao Cheng, Chengfeng Liu, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Arne Schumann, Dan Wang, Diego Ortego, Elena Luna, Emmanouil Michail, Erik Bochinski, Feng Ni, Filiz Bunyak, Gege Zhang, Guna Seetharaman, Guorong Li, Hongyang Yu, Ioannis Kompatsiaris, Jianfei Zhao, Jie Gao, Jose Martinez, Juan Miguel, Kannappan Palaniappan, Konstantinos Avgerinakis, Lars Sommer, Martin Lauer, Mengkun Liu, Noor Al-Shakarji, Oliver Acatay, Panagiotis Giannakeris, Qijie Zhao, Qinghua Ma, Qingming Huang, Stefanos Vrochidis, Thomas Sikora, Tobias Senst, Wei Song, Wei Tian, Wenhua Zhang, Yanyun Zhao, Yidong Bai, Yinan Wu, Yongtao Wang, Yuxuan Li, Zhaoliang Pi, Zhiming Ma
VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results
ECCV 2018 Workshops, volume Part V, Munich, Germany, 08.09.2018 - 14.09.2018, pp. 496-518
Details BibTeX - Erik Bochinski, Ghassen Bacha, Volker Eiselein, Tim J. W. Walles, Jens C. Nejstgaard and Thomas Sikora
Deep Active Learning for In Situ Plankton Classification
Computer Vision for Analysis of Underwater Imagery (CVAUI) IPCRW, volume ICPR 2018 Workshops, LNCS 11188, Beijing, China, 20.08.2018 - 24.08.2018, pp. pp. 515
DOI: 10.1007/978-3-030-05792-3 eBook ISBN: 978-3-030-05792-3 Softcover ISBN: 978-3-030-05791-6
Details BibTeX - Michael Tok, Rolf Jongebloed, Lieven Lange, Erik Bochinski, Thomas Sikora
An Mse Approach for Training and Coding Steered Mixtures of Experts
Picture Coding Symposium (PCS), San Francisco, California USA, 24.06.2018 - 27.06.2018
Details BibTeX - Tim Walles, Ghassen Bacha, Erik Bochinski, Volker Eiselein, Jens Nejstgaard
High-resolution automated approaches to study in situ mesozooplankton abundance and migration.
Geophysical Research Abstracts, volume EGU General Assembly Conference Abstracts Vol. 20, April 2018, pp. 764
eISSN: 1607-7962
Details BibTeX
2017
- Patrick Krusch, Erik Bochinski, Volker Eiselein, Thomas Sikora
A Consistent Two-Level Metric for Evaluation of Automated Abandoned Object Detection Methods
24th IEEE International Conference on Image Processing (ICIP), Beijing, China, 17.09.2017 - 20.09.2017, pp. 4352-4356
ISBN: 978-1-5090-2174-1
Details BibTeX - Erik Bochinski, Tobias Senst, Thomas Sikora
Hyper-Parameter Optimization for Convolutional Neural Network Committees Based on Evolutionary Algorithms
24th IEEE International Conference on Image Processing (ICIP), Beijing, China, 17.09.2017 - 20.09.2017, pp. 3924-2928
ISBN: 978-1-5090-2174-1
Details BibTeX - Volker Eiselein, Erik Bochinski, Thomas Sikora
Assessing Post-Detection Filters for a Generic Pedestrian Detector in a Tracking-By-Detection Scheme
Analysis of video and audio "in the Wild" workshop at IEEE AVSS 2017, Lecce, Italy, 29.08.2017, pp. 1-6
ISBN:978-1-5386-2939-0/17
Details BibTeX - Tino Kutschbach, Erik Bochinski, Volker Eiselein, Thomas Sikora
Sequential Sensor Fusion Combining Probability Hypothesis Density and Kernelized Correlation Filters for Multi-Object Tracking in Video Data
International Workshop on Traffic and Street Surveillance for Safety and Security at IEEE AVSS 2017, Lecce, Italy, 29.08.2017 - 01.09.2017, pp. 1-5
ISBN:978-1-5386-2939-0/17
Details BibTeX - Erik Bochinski, Volker Eiselein and Thomas Sikora
[Challenge winner IWOT4S] High-Speed Tracking-by-Detection Without Using Image Information
International Workshop on Traffic and Street Surveillance for Safety and Security at IEEE AVSS 2017, Lecce, Italy, 29.08.2017, pp. 1-6
ISBN:978-1-5386-2939-0/17
Details BibTeX - Siwei Lyu, Ming-Ching Chang, Dawei Du, Longyin Wen, Honggang Qi, Yuezun Li, Yi Wei, Lipeng Ke, Tao Hu, Marco Del Coco, Pierluigi Carcagnì, Dmitriy Anisimov, Erik Bochinski, Fabio Galasso, Filiz Bunyak, Guang Han, Hao Ye, Hong Wang, Kannappan Palaniappan, Koray Ozcan, Li Wang, Liang Wang, Martin Lauer, Nattachai Watcharapinchai, Nenghui Song, Noor M Al-Shakarji, Shuo Wang, Sikandar Amin, Sitapa Rujikietgumjorn, Tatiana Khanova, Thomas Sikora, Tino Kutschbach, Volker Eiselein, Wei Tian, Xiangyang Xue, Xiaoyi Yu, Yao Lu, Yingbin Zheng, Yongzhen Huang, Yuqi Zhang
UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring
IEEE International Conference on Advanced Video and Signal-Based Surveillance, Lecce, Italy, 29.08.2017 - 01.09.2017, pp. 1-7
ISBN:978-1-5386-2939-0/17
Details BibTeX
2016
- Erik Bochinski, Volker Eiselein, Thomas Sikora
Training a Convolutional Neural Network for Multi-Class Object Detection Using Solely Virtual World Data
IEEE International Conference on Advanced Video and Signal-Based Surveillance, Colorado Springs, CO, USA, 23.08.2016 - 26.08.2016, pp. 278-285
Electronic ISBN: 978-1-5090-3811-4 Print on Demand(PoD) ISBN: 978-1-5090-3812-1 DOI: 10.1109/AVSS.2016.7738056
Details BibTeX