Bus Violence: An Open Benchmark for Video Violence Detection on Public Transport.
Ontology highlight
ABSTRACT: The automatic detection of violent actions in public places through video analysis is difficult because the employed Artificial Intelligence-based techniques often suffer from generalization problems. Indeed, these algorithms hinge on large quantities of annotated data and usually experience a drastic drop in performance when used in scenarios never seen during the supervised learning phase. In this paper, we introduce and publicly release the Bus Violence benchmark, the first large-scale collection of video clips for violence detection on public transport, where some actors simulated violent actions inside a moving bus in changing conditions, such as the background or light. Moreover, we conduct a performance analysis of several state-of-the-art video violence detectors pre-trained
SUBMITTER: Ciampi L
PROVIDER: S-EPMC9658862 | biostudies-literature | 2022 Oct
REPOSITORIES: biostudies-literature
ACCESS DATA