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The Visual Object Tracking VOT2014 Challenge Results

机译:Vot2014挑战结果的Visual对象跟踪

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The Visual Object Tracking challenge 2014, VOT2014, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 38 trackers are presented. The number of tested trackers makes VOT 2014 the largest benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the appendix. Features of the VOT2014 challenge that go beyond its VOT2013 predecessor are introduced: (ⅰ) a new VOT2014 dataset with full annotation of targets by rotated bounding boxes and per-frame attribute, (ⅱ) extensions of the VOT2013 evaluation methodology, (ⅲ) a new unit for tracking speed assessment less dependent on the hardware and (ⅳ) the VOT2014 evaluation toolkit that significantly speeds up execution of experiments. The dataset, the evaluation kit as well as the results are publicly available at the challenge website.
机译:2014年Vot2014的视觉对象跟踪挑战旨在比较不适用预先学习对象外观模型的短期单对象视觉跟踪器。提出了38个跟踪器的结果。经过测试的跟踪器的数量使VOT 2014成为迄今为止短期跟踪的最大基准。对于每个参与跟踪器,附录中提供了简短的描述。介绍了VOT2013超出了其VOT2013前任的挑战的功能:(Ⅰ)新的VOT2014数据集通过旋转边界框和每帧属性完全注释目标,(Ⅱ)VOT2013评估方法的扩展,(Ⅲ)a用于跟踪速度评估的新单元较少依赖于硬件和(ⅳ)VOT2014评估工具包,可显着加速实验的执行。 DataSet,评估套件以及结果在挑战网站上公开提供。

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