A video surveillance apparatus for detecting agro-livestock theft based on deep learning and method thereof

摘要

The present invention relates to an image monitoring technique for detecting livestock theft based on deep learning. An image monitoring method extracts a moving object for learning from an input image photographed through a camera and pre-trains each moving object for learning using image data and label data for the extracted moving object for learning. Using the pre-trained data, the moving object in a new input image is classified into livestock or human types, and a moving history of the classified moving object is recorded for each type. Each moving area is set for each type from the recorded moving history, and detects the moving object from the input image but determines an abnormal situation when the moving object is detected in an area which is not a moving area set for the classified type.