@INPROCEEDINGS{1517Bochinski2017, AUTHOR = {Erik Bochinski and Volker Eiselein and Thomas Sikora}, TITLE = {[Challenge winner IWOT4S] High-Speed Tracking-by-Detection Without Using Image Information}, BOOKTITLE = {International Workshop on Traffic and Street Surveillance for Safety and Security at IEEE AVSS 2017}, YEAR = {2017}, MONTH = aug, PAGES = {1--6}, ADDRESS = {Lecce, Italy}, NOTE = {ISBN:978-1-5386-2939-0/17}, PDF = {http://elvera.nue.tu-berlin.de/files/1517Bochinski2017.pdf}, URL = {http://elvera.nue.tu-berlin.de/files/1517Bochinski2017.pdf}, ABSTRACT = {Tracking-by-detection is a common approach to multi- object tracking. With ever increasing performances of ob- ject detectors, the basis for a tracker becomes much more reliable. In combination with commonly higher frame rates, this poses a shift in the challenges for a successful tracker. That shift enables the deployment of much simpler tracking algorithms which can compete with more sophisticated approaches at a fraction of the computational cost. We present such an algorithm and show with thorough experiments its potential using a wide range of object detectors. The proposed method can easily run at 100K fps while outperforming the state-of-the-art on the DETRAC vehicle tracking dataset.} }