Инд. авторы:	Morgacheva A.I., Kulikov V.A., Kosykh V.P.
Заглавие:	DYNAMIC KEYPOINT-BASED ALGORITHM OF OBJECT TRACKING
Библ. ссылка:	Morgacheva A.I., Kulikov V.A., Kosykh V.P. DYNAMIC KEYPOINT-BASED ALGORITHM OF OBJECT TRACKING // INTERNATIONAL WORKSHOP PHOTOGRAMMETRIC AND COMPUTER VISION TECHNIQUES FOR VIDEO SURVEILLANCE, BIOMETRICS AND BIOMEDICINE : International Workshop on Photogrammetric and Computer Vision Techniques for Video Surveillance, Biometrics and Biomedicine (MAY 15-17, 2017). - 2017. - Vol.42-2. - Iss. W4. - P.79-82. - ISSN 2194-9034.
Внешние системы:	DOI: 10.5194/isprs-archives-XLII-2-W4-79-2017; WoS: 000425668800013;
Реферат:	eng: The model of the observed object plays the key role in the task of object tracking. Models as a set of image parts, in particular, keypoints, is more resistant to the changes in shape, texture, angle of view, because local changes apply only to specific parts of the object. On the other hand, any model requires updating as the appearance of the object changes with respect to the camera. In this paper, we propose a dynamic (time-varying) model, based on a set of keypoints. To update the data this model uses the algorithm of rating keypoints and the decision rule, based on a Function of Rival Similarity (FRiS). As a result, at the test set of image sequences the improvement was achieved on average by 9.3% compared to the original algorithm. On some sequences, the improvement was 16% compared to the original algorithm.
Ключевые слова:	FRiS; Dynamic object model; Keypoints; Tracking;
Издано:	2017
Физ. характеристика:	с.79-82
Конференция:	Название: International Workshop “Photogrammetric and computer vision techniques for video surveillance, biometrics and biomedicine” Аббревиатура: ISPRS 2017 Город: Moscow Страна: Russia Даты проведения: 2017-05-15 - 2017-05-17 Ссылка: http://technicalvision.ru/ISPRS/PSBB17/