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Challenge Winner IWOT4S @ AVSS 2017

Lupe [1]

We are delighted to announce that our IOU tracker won the IWOT4S Challenge for multi-object tracking at the International Workshop on Traffic and Street Surveillance for Safety and Security at IEEE AVSS 2017, Lecce, Italy, 29.08.2017

Link: https://iwt4s.wordpress.com/ [2]

IOU Tracker

Tracking-by-detection is a common approach to multi-object tracking. With ever increasing performances of object 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. We propose a very simple tracking algorithm which can compete with more sophisticated approaches at a fraction of the computational cost. With thorough experiments we show its potential using a wide range of object detectors. The proposed method can easily run at thousands of frames per second (fps) while outperforming the state-of-the-art on the DETRAC vehicle tracking dataset and achieves competitive results on the MOT17 benchmark. A python implementation of the tracker is publicly available [4]. ... [5]

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