Published June 25, 2024 | Version v1

Dataset for Moving Object Tracking based on RCNNshift

  • 1. ROR icon Chengdu University of Technology

Description

The dataset contains 50 videos from OTB2013, annotated by 11 types of image features. The videos are in mp4 format and can be read directly using the VideoCapture function of the Opencv library. The original dataset link is: http://cvlab.hanyang.ac.kr/tracker_benchmark/datasets.html.

Files

Datasets.zip

Files (621.5 MB)

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md5:cfeed40354ab0f591a29907f32b641cf
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Additional details

Related works

Is supplemented by
Data paper: 10.1109/CVPR.2013.312 (DOI)

References

  • Wu, Y., Lim, J., & Yang, M. H. (2013). Online object tracking: A benchmark. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 2411-2418).