Effects of Improper Ground Truth on Target Tracking Performance Evaluation in Benchmark

Target tracking is an important part of many applications in computer vision. With continuous researching and developing, more and more advanced tracking algorithms have been put forward. Therefore, a benchmark and dataset used to evaluate the most advanced tracking algorithms are needed. One of the most widely used benchmarks is Online Tracking Benchmark (OTB). This benchmark has a clear statement of the video attributes, and each frame in the sequences is appropriately provided with the ground-truth annotations. There may be some errors due to the annotations done by manual operation for bounding box and thus we find and modify the annotations that have some errors. The error means the bounding box for tracking target in some frames is beyond boundaries of corresponding frames. Then we study the effect of these small errors on the tracking algorithm evaluation in the corresponding video sequences.