Comparative Analysis of Morphological Functions for Object Detection in Video Processing

Automation, industrial inspection, security, robotic navigation, and medical diagnosis all depend heavily on object detection methods, which are becoming more and more commonplace on a daily basis. While it is easy for humans to identify any object in the real world, computerized object recognition in images or videos is a more challenging process. The increasing need for object detection systems has compelled us to construct such an assignment, that has drawn the consideration of attackers who are not careful to recognize themselves or raise an alarm when engaging in any suspicious action or trying to alter anything. The input for the suggested method is a video. To extract items from the video, the background has been removed and the movie has been deframed. Labeling has been used throughout the entire feature extraction process in order to classify using different classifiers, including SVM, J48, and AdaBoost.