Method, device, and program for sampling frame image of object to be learned in video for artificial intelligence video learning, and image learning method thereof

A device for sampling a learning target frame image in a video for AI image learning, the device comprising:

• a raw video receiving unit configured to receive a raw video for the AI image learning;
• a frame image extracting unit configured to extract a predetermined number of frame images from the received raw video per predetermined time interval;
• a learning target object detecting unit configured to detect one or more learning target objects, each of which has one or more predetermined types, in each of the frame images by using an object detection algorithm;
• a background removing unit configured to remove a background other than the learning target objects from each of the frame images;
• an object movement amount measuring unit configured to measure a movement amount of each of the detected one or more learning target objects in a n-th frame image (′n′ being a natural number of 2 or more) by comparing a location of each of the detected one or more learning target objects in the n-th frame image, from which the background is removed, with a location of each of the detected one or more learning target objects in a (n−1)-th frame image, from which the background is removed and which is immediately before the n-th frame image;
• and
• a learning target frame image selecting unit configured to select the n-th frame image as the learning target frame image, by comparing a result of measuring the movement amount of each of the detected one or more learning target objects in the n-th frame image with a predetermined reference.

A program stored in a recording medium to perform a method for sampling a learning target frame image in a video for AI video learning, using a computer being hardware, the program for performing the method comprising:

• receiving a raw video for the AI image learning;
• extracting a predetermined number of frame images from the received raw video per predetermined time interval;
• detecting one or more learning target objects, each of which has one or more predetermined types, in each of the frame images by using an object detection algorithm;
• removing a background other than the learning target objects from each of the frame images;
• measuring a movement amount of each of the detected one or more learning target objects in a n-th frame image (′n′ being a natural number of 2 or more) by comparing a location of each of the detected one or more learning target objects in the n-th frame image, from which the background is removed, with a location of each of the detected one or more learning target objects in a (n−1)-th frame image, from which the background is removed and which is immediately before the n-th frame image;
• and
• selecting the n-th frame image as the learning target frame image, by comparing a result of measuring the movement amount of each of the detected one or more learning target objects in the n-th frame image with a predetermined reference.