Sebastian Bernd Krah

Learn More
The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply prelearned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art(More)
The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2016 is the second benchmark on short-term tracking in TIR sequences. Results of 24 trackers are presented. For each(More)
The effectiveness of appearance based person models strongly relies on a sufficiently large number of high quality training samples. Generating training data in terms of bounding boxes is already a time consuming task. If more complex person models are used, like part-based models or models suitable for human pose estimation, the labeling process becomes(More)
  • 1