In this paper, we consider a technique for automatic analysis of video files for detecting the presence of persons and attractions, using recognition by key, non-repeating frames, based on algorithms for their extraction. Recognition of landmarks and faces only by keyframes will significantly reduce computational costs, as well as avoid overflowing with repetitive information. The effectiveness of the proposed technique is evaluated in terms of accuracy and speed on a set of test videos.

Keywords: keyframe, recognition, computer vision, algorithm, video