VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results

• Published in: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) pp. 199 - 212
• Main Authors: Du, Dawei, Zhang, Yue, Bo, Liefeng, Shi, Hailin, Zhu, Rui, Han, Bo, Zhang, Chunhui, Liu, Guizhong, Wu, Han, Wen, Hao, Wang, Haoran, Zhu, Pengfei, Fan, Jiaqing, Chen, Jie, Gao, Jie, Zhang, Jie, Zhou, Jinghao, Zhou, Jinliu, Wang, Jinwang, Wan, Jiuqing, Kittler, Josef, Zhang, Kaihua, Wen, Longyin, Huang, Kaiqi, Yang, Kang, Zhang, Kangkai, Huang, Lianghua, Zhou, Lijun, Shi, Lingling, Ding, Lu, Wang, Ning, Wang, Peng, Hu, Qintao, Bian, Xiao, Laganiere, Robert, Ma, Ruiyan, Zhang, Ruohan, Zou, Shanrong, Zhao, Shengwei, Li, Shengyang, Zhu, Shengyin, Li, Shikun, Ge, Shiming, Xuan, Shiyu, Ling, Haibin, Xu, Tianyang, He, Ting, Shi, Wei, Song, Wei, Hu, Weiming, Zhang, Wenhua, Zhu, Wenjun, Yu, Xi, Wang, Xianhai, Wu, Xiaojun, Hu, Qinghua, Li, Xiaotong, Li, Xiaoxue, Yin, Xiaoyue, Zhang, Xin, Zhao, Xin, Xue, Xizhe, Lei, Xu, Yang, Xueyuan, Gao, Yanjie, Zhao, Yanyun, Zheng, Jiayu, Xu, Yinda, Li, Ying, Wang, Yong, Yang, Yong, Yang, Yuting, Li, Yuxuan, Wang, Zeyu, Feng, Zhenhua, Zhang, Zhipeng, Yu, Zhiyong, Peng, Tao, Duan, Zhizhao, Sun, Zhuojin, Wang, Xinyao
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2019
• Subjects: benchmark; Computer vision; drone; Drones; Object tracking; single object tracking; Target tracking; Training; Visualization
• ISSN: 2473-9944
• DOI: 10.1109/ICCVW.2019.00029

The Vision Meets Drone (VisDrone2019) Single Object Tracking challenge is the second annual research activity focusing on evaluating single-object tracking algorithms on drones, held in conjunction with the International Conference on Computer Vision (ICCV 2019). The VisDrone-SOT2019 Challenge goes beyond its VisDrone-SOT2018 predecessor by introducing 25 more challenging sequences for long-term tracking. We evaluate and discuss the results of 22 participating algorithms and 19 state-of-the-art trackers on the collected dataset. The challenge results are publicly available at the website: http://www.aiskyeye.com/. WeexpecttheVisDrone-SOTchallenge to boost the research in single object tracking field.