Abstract
. Sexual assault can cause great societal damage, with negative socio-economic, mental, sexual, physical and reproductive consequences. According to the Eurostat, the number of crimes increased in the European Union between 2008 and 2016. However, despite the increase in security tools such as cameras, it is usually difficult to know if an individual is subject to an assault based on his or her posture. Hand gestures are seen by many as the natural means of nonverbal communication when interacting with a computer, and a considerable amount of research has been performed. In addition, the identifiable hand placement characteristics provided by modern inexpensive commercial depth cameras can be used in a variety of gesture recognition-based systems, particularly for human-machine interactions. This paper introduces a novel gesture alert system that uses a combination of Convolution Neural Networks (CNNs). The overall system can be subdivided into three main parts: firstly, the human detection in the image using a pretrained “You Only Look Once (YOLO)” method, which extracts the related bounding boxes containing his/her hands; secondly, the gesture detection/classification stage, which processes the bounding box images; and thirdly, we introduced a module called “counterGesture”, which triggers the alert.
Highlights
In a sexual assault, the assailant assaults the victim quickly and brutally, without any prior contact, usually at night in a public place
The overall system can be divided into three parts: first, the extraction of the Regions of Interest (ROIs) as an output of the human detection module; second, the image classification, which categorizes all of the hand frames into one possible gesture; and third, a match that will trigger the alert
We firstly studied the performance of various versions of the neural network VGG-16 and a custom 3D Convolution Neural Networks (CNNs) architecture on the classification task
Summary
The assailant assaults the victim quickly and brutally, without any prior contact, usually at night in a public place. This can be done by physical force or threats of force, or by the abuser giving the victim alcohol as part of the crime. Few of them focus on the early detection of this crime [7,8]. This is a difficult task, as the posture of both individuals (the rapist and the victim) might be both on the same abscissa of the camera, as shown in
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