@inproceedings{eff140c895604b7c8b3e0b44d4e7e833,
title = "Follow me up sports: New benchmark for 2d human keypoint recognition",
abstract = "Human pose estimation has made significant advancement in recent years. However, the existing datasets are limited in their coverage of pose variety. In this paper, we introduce a novel benchmark “FollowMeUp Sports” that makes an important advance in terms of specific postures, self-occlusion and class balance, a contribution that we feel is required for future development in human body models. This comprehensive dataset was collected using an established taxonomy of over 200 standard workout activities with three different shot angles. The collected videos cover a wider variety of specific workout activities than previous datasets including push-up, squat and body moving near the ground with severe self-occlusion or occluded by some sport equipment and outfits. Given these rich images, we perform a detailed analysis of the leading human pose estimation approaches gaining insights for the success and failures of these methods.",
keywords = "Benchmark testing, Performance evaluation, Pose estimation",
author = "Ying Huang and Bin Sun and Haipeng Kan and Jiankai Zhuang and Zengchang Qin",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 2nd Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2019 ; Conference date: 08-11-2019 Through 11-11-2019",
year = "2019",
doi = "10.1007/978-3-030-31726-3\_10",
language = "英语",
isbn = "9783030317256",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "110--121",
editor = "Zhouchen Lin and Liang Wang and Tieniu Tan and Jian Yang and Guangming Shi and Nanning Zheng and Xilin Chen and Yanning Zhang",
booktitle = "Pattern Recognition and Computer Vision- 2nd Chinese Conference, PRCV 2019, Proceedings, Part III",
address = "德国",
}