Learning Gait Representation from Massive Unlabelled Walking Videos: A Benchmark. (arXiv:2206.13964v1 [cs.CV])

Gait depicts individuals' unique and distinguishing walking patterns and has
become one of the most promising biometric features for human identification.
As a fine-grained recognition task, gait recognition is easily affected by many
factors and usually requires a large amount of completely annotated data that
is costly and insatiable. This paper proposes a large-scale self-supervised
benchmark for gait recognition with contrastive learning, aiming to learn the
general gait representation from massive unlabelled walking videos for
practical applications via offering informative …

arxiv benchmark cv learning massive representation videos