A Controlled Benchmark of Video Violence Detection Techniques

Nicola Convertini, Vincenzo Dentamaro, Donato Impedovo, Giuseppe Pirlo, Lucia Sarcinella
2020 Information  
This benchmarking study aims to examine and discuss the current state-of-the-art techniques for in-video violence detection, and also provide benchmarking results as a reference for the future accuracy baseline of violence detection systems. In this paper, the authors review 11 techniques for in-video violence detection. They re-implement five carefully chosen state-of-the-art techniques over three different and publicly available violence datasets, using several classifiers, all in the same
more » ... all in the same conditions. The main contribution of this work is to compare feature-based violence detection techniques and modern deep-learning techniques, such as Inception V3.
doi:10.3390/info11060321 fatcat:fhxkzks66bcl3karxybjc7oovm