Nude Content Detection on Video Using Haar Cascade Classifier

Nudity is also an element in pornography. There are individuals that are conservative about what they are watching. There are children that are too exposed in nudity, and it becomes a normal scene, and it leads to changes of their attitudes. That is why this study developed a system that can detect frontal view of female breast, frontal view of female genital and frontal view of male genital in videos. The researchers tested the accuracy of the system in detecting nude objects in different resolutions. The researchers used experiment method for this research and used formula of Precision, Recall and F-Measure to obtain the accuracy of the system in detecting frontal view of female breast, frontal view of female genital and frontal view of male breast in different resolutions. The system's accuracy got different average precision, average recall and average f-measure in each model depending on their resolution. The higher the resolution is, the higher the accuracy of the model it gets. The researchers recommend the use of relative position of the human body in detecting the breast, female genitals, and male genitals improve the accuracy of the system. For example, the detected breast and genital candidate outside of Human body ROI will be marked as negative. Finally, use other object detection algorithms that can recognize different angles to improve robustness, and other classification algorithms such as Support Vector Machine and Artificial Neural Network.