Affiliations: Department of Computer Science and Engineering, MIT School of Computing, MIT Art Design and Technology University, Loni, Kalbhor, Pune, Maharashtra, India
Abstract: The prevalence of violence against women and children is concerning, and the initial step is to raise awareness of this issue. Certain forms of detection based techniques are not frequently regarded both socially and culturally permissible. Designing and implementing effective approaches in secondary and supplementary avoidance simultaneously depends on the characterization and assessment. Given the greater incidence of instances and mortalities resulting developing an early detection system is essential. Consequently, violence against women and children is a problem of human health of pandemic proportions. As a result, the focus of this survey is to analyze the existing methods used to identify violence in photos or films. Here, 50 research papers are reviewed and their techniques employed, dataset, evaluation metrics, and publication year are analyzed. The study reviews the potential future research areas by examining the difficulties in identifying violence against women and children in literary works for researchers to overcome in order to produce better results.
Keywords: Violence detection (VD), Deep learning (DL), Machine Learning (ML), Deep Neural Networks (DNNs), Support vector machine (SVM)
