title: ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¾ÑÐ¾Ð±ÑÑ ÑÐ¾ÑÐµÐº Ð¸ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð¾Ð¿ÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð¿Ð¾ÑÐ¾ÐºÐ¾Ð² Ð² Ð·Ð°Ð´Ð°ÑÐµ ÑÐ¸ÑÑÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÑÐºÐ¾Ð¿Ð»ÐµÐ½Ð¸Ð¹ Ð»ÑÐ´ÐµÐ¹ Ð¿Ð¾ Ð²Ð¸Ð´ÐµÐ¾
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Investigation of algorithms for detecting interest points and constructing optical flows in the problem of situational analysis of clusters of people by video
Creators: name: Ð ÐµÐ·ÐµÑ, Ð®ÑÐ¸Ð¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð°Ð½Ð¾Ð¼Ð°Ð»Ð¸Ð¹
Ð´ÐµÑÐµÐºÑÐ¾Ñ Ð¾ÑÐ¾Ð±ÑÑ ÑÐ¾ÑÐµÐº
Ð¾Ð¿ÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð¿Ð¾ÑÐ¾Ðº
ÑÐ¸ÑÑÐ°ÑÐ¸Ð¾Ð½Ð½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·
Ð¼Ð½Ð¾Ð³Ð¾Ð»ÑÐ´Ð½ÑÐµ ÑÑÐµÐ½Ñ
Ð²Ð¸Ð´ÐµÐ¾ÐºÐ°Ð¼ÐµÑÑ
anomaly detection
interest point detector
optical flow
situation analysis
crowded scenes
video cameras

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description: The given work is devotedÂ to the analysis of interest point detectors and optical flows methods in the task of detecting and localizing abnormal behavior of people in a crowded scene.Â The research set the following goals:Â 1. Overview of detectors and descriptors of interest points, optical flow methods and algorithms for situational analysis of abnormal behavior in crowded scene;Â 2. Implementation of an algorithm for detecting abnormal behavior based on the extraction and analysis of the trajectories of movement of people in a crowd;Â 3. Testing the algorithm with various interest point detectors and various optical flow methods;Â 4. Investigation of the obtained dependencies and determination of methods maximizing the quality and performance of the algorithm for detecting abnormal behavior.Â The study resulted, an algorithm that determines and localizes the abnormal behavior of the crowd based on the tracklets extracted using interest point detectors and a sparse optical flow algorithm. Using this algorithm, eight classical methods for interest points detection and two sparse optical flow methods were tested. During the testing, recommendations were formed on the scope of the algorithms.