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Video object detection has drawn great attention recently. The Vision Meets Drone Object Detection in Video Challenge 2019 (VisDrone-VID2019) is held to advance the state-of-the-art in video object detection for videos captured by drones. Specifically, there are 13 teams participating the challenge. We also report the results of 6 state-of-the-art detectors on the collected dataset. A short description is provided in the appendix for each participating detector. We present the analysis and discussion of the challenge results. Both the dataset and the challenge results are publicly available at the challenge website: http://www.aiskyeye.com/.
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Pengfei Zhu
Dawei Du
Longyin Wen
Tsinghua University
Stony Brook University
Sun Yat-sen University
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Zhu et al. (Tue,) studied this question.
www.synapsesocial.com/papers/69df0f814fb243fc8e5917a2 — DOI: https://doi.org/10.1109/iccvw.2019.00031
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