Tracking Revisited using RGBD Camera: Baseline and Benchmark

  title={Tracking Revisited using RGBD Camera: Baseline and Benchmark},
  author={Shuran Song and Jianxiong Xiao},
Although there has been significant progress in the past decade, tracking is still a very challenging computer vision task, due to problems such as occlusion and model drift. Recently, the increased popularity of depth sensors (e.g. Microsoft Kinect) has made it easy to obtain depth data at low cost. This may be a game changer for tracking, since depth information can be used to prevent model drift and handle occlusion. In this paper, we construct a benchmark dataset of 100 RGBD videos with… CONTINUE READING

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