all AI news
Gait Recognition in the Wild: A Benchmark. (arXiv:2205.02692v1 [cs.CV])
Web: http://arxiv.org/abs/2205.02692
May 6, 2022, 1:10 a.m. | Zheng Zhu, Xianda Guo, Tian Yang, Junjie Huang, Jiankang Deng, Guan Huang, Dalong Du, Jiwen Lu, Jie Zhou
cs.CV updates on arXiv.org arxiv.org
Gait benchmarks empower the research community to train and evaluate
high-performance gait recognition systems. Even though growing efforts have
been devoted to cross-view recognition, academia is restricted by current
existing databases captured in the controlled environment. In this paper, we
contribute a new benchmark for Gait REcognition in the Wild (GREW). The GREW
dataset is constructed from natural videos, which contains hundreds of cameras
and thousands of hours streams in open systems. With tremendous manual
annotations, the GREW consists of …
More from arxiv.org / cs.CV updates on arXiv.org
Latest AI/ML/Big Data Jobs
Data & Insights Strategy & Innovation General Manager
@ Chevron Services Company, a division of Chevron U.S.A Inc. | Houston, TX
Faculty members in Research areas such as Bayesian and Spatial Statistics; Data Privacy and Security; AI/ML; NLP; Image and Video Data Analysis
@ Ahmedabad University | Ahmedabad, India
Director, Applied Mathematics & Computational Research Division
@ Lawrence Berkeley National Lab | Berkeley, Ca
Business Data Analyst
@ MainStreet Family Care | Birmingham, AL
Assistant/Associate Professor of the Practice in Business Analytics
@ Georgetown University McDonough School of Business | Washington DC
Senior Data Science Writer
@ NannyML | Remote