Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring

: Lyu, Siwei; Chang, Ming-Ching; Du, Dawei; Li, Wenbo; Wei, Yi; Coco, Marco Del; Carcagni, Pierluigi; Schumann, Arne; Munjal, Bharti; Dang, Dinh-Quoc-Trung; Choi, Doo-Hyun; Bochinski, Erik; Galasso, Fabio; Bunyak, Filiz; Seetharaman, Guna; Baek, Jang-Woon; Lee, Jong Taek; Palaniappan, Kannappan; Lim, Kil-Taek; Moon, Kiyoung; Kim, Kwang-Ju; Sommer, Lars; Brandlmaier, Meltem; Kang, Min-Sung; Jeon, Moongu; Al-Shakarji, Noor M.; Acatay, Oliver; Kim, Pyong-Kun; Amin, Sikandar; Sikora, Thomas; Dinh, Tien; Senst, Tobias; Che, Vu-Gia-Hy; Lim, Young-Chul; Song, Young-Min; Chung, Yun-Su


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
AVSS 2018, 15th IEEE International Conference on Advanced Video and Signal-based Surveillance. Proceedings : 27-30 November 2018, Auckland, New Zealand
Piscataway, NJ: IEEE, 2018
ISBN: 978-1-5386-9294-3
ISBN: 978-1-5386-9293-6
ISBN: 978-1-5386-9295-0
International Conference on Advanced Video and Signal-Based Surveillance (AVSS) <15, 2018, Auckland>
Conference Paper
Fraunhofer IOSB ()
object detection; benchmark testing; surveillance; detector; object tracking; Matlab

A desirable smart traffic-monitoring and street-safety system can elicit and support the intervention of law enforcement agencies or medical staff. Recently, there has been a dramatically higher demand for such smart systems. To this end, the International Workshop on Traffic and Street Surveillance for Safety and Security (IWT4S) was organized in conjunction with the 15th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS 2018). Our goal is to advance the state-of-the-art detection and tracking algorithms and provide a comprehensive performance evaluation for them. We evaluate 5 submitted detection and 7 submitted tracking methods on the large-scale UA-DETRAC benchmark, and the results are shared publicly on the website http://detrac-db. We expect this challenge to advance the research and development of new detection and tracking methods for transportation applications.