Abnormal behaviour detection method for video surveillance applications
Автор: Shatalin Roman Andreevich, Fidelman Vladimir Romanovich, Ovchinnikov Pavel Evgenyevich
Журнал: Компьютерная оптика @computer-optics
Рубрика: Обработка изображений: Распознавание образов
Статья в выпуске: 1 т.41, 2017 года.
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In this paper, we propose novel method for abnormal behavior detection in the video surveillance. The method constructs a normal behavior model using training samples, which makes possible application in a wide range of conditions and scenes. The method was tested in controlled and real conditions. The result shows that the method can be used to detect abnormal behavior in simple and crowded scenes.
Video analysis, surveillance, anomaly detection, crowded scene, principal component analysis
Короткий адрес: https://sciup.org/14059537
IDR: 14059537 | DOI: 10.18287/2412-6179-2017-41-1-37-45
