Research output per year
Research output per year
Description
We collect a multi-view and stereo-depth dataset for 3D human pose estimation, which consists of challenging martial arts actions (Tai-chi and Karate), dancing actions (hip-hop and jazz), and sports actions (basketball, volleyball, football, rugby, tennis and badminton).
| Date made available | 2017 |
|---|---|
| Publisher | Video, Image, and Sound Analysis Lab (VISAL), City University of Hong Kong |
| Date of data production | Apr 2017 |
Research output
- 1 RGC 21 - Publication in refereed journal
-
Martial Arts, Dancing and Sports dataset: A challenging stereo and multi-view dataset for 3D human pose estimation
Zhang, W., Liu, Z., Zhou, L., Leung, H. & Chan, A. B., 1 May 2017, In: Image and Vision Computing. 61, p. 22-39Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile84 Citations (Scopus)39 Downloads (CityUHK Scholars)