TRACKING OF LOW-SIZED TARGETS FROM NON-STATIONARY CAMERA BASED ON COVARIANCE FEATURES AND PREDICTOR
A fast selective-covariance tracking method of low-sized targets from non-stationary camera is proposed. It is based on selective predictor and representation of spatial and statistical target properties by covariance matrix. The comparison of proposed selective-covariance and known covariance metho...
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| Format: | Article |
| Language: | Russian |
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Educational institution «Belarusian State University of Informatics and Radioelectronics»
2019-06-01
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| Series: | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
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| Online Access: | https://doklady.bsuir.by/jour/article/view/303 |
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| _version_ | 1849398492918710272 |
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| author | I. A. Baryskievic V. Yu. Tsviatkou |
| author_facet | I. A. Baryskievic V. Yu. Tsviatkou |
| author_sort | I. A. Baryskievic |
| collection | DOAJ |
| description | A fast selective-covariance tracking method of low-sized targets from non-stationary camera is proposed. It is based on selective predictor and representation of spatial and statistical target properties by covariance matrix. The comparison of proposed selective-covariance and known covariance methods is provided. |
| format | Article |
| id | doaj-art-93f8078b2a2a4a2eba1936e986bd46e4 |
| institution | Kabale University |
| issn | 1729-7648 |
| language | Russian |
| publishDate | 2019-06-01 |
| publisher | Educational institution «Belarusian State University of Informatics and Radioelectronics» |
| record_format | Article |
| series | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
| spelling | doaj-art-93f8078b2a2a4a2eba1936e986bd46e42025-08-20T03:38:35ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-01033339302TRACKING OF LOW-SIZED TARGETS FROM NON-STATIONARY CAMERA BASED ON COVARIANCE FEATURES AND PREDICTORI. A. Baryskievic0V. Yu. Tsviatkou1Белорусский государственный университет информатики и радиоэлектроникиБелорусский государственный университет информатики и радиоэлектроникиA fast selective-covariance tracking method of low-sized targets from non-stationary camera is proposed. It is based on selective predictor and representation of spatial and statistical target properties by covariance matrix. The comparison of proposed selective-covariance and known covariance methods is provided.https://doklady.bsuir.by/jour/article/view/303сопровождение малоразмерных целейнестационарная видеокамераковариационная матрицапредсказание |
| spellingShingle | I. A. Baryskievic V. Yu. Tsviatkou TRACKING OF LOW-SIZED TARGETS FROM NON-STATIONARY CAMERA BASED ON COVARIANCE FEATURES AND PREDICTOR Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki сопровождение малоразмерных целей нестационарная видеокамера ковариационная матрица предсказание |
| title | TRACKING OF LOW-SIZED TARGETS FROM NON-STATIONARY CAMERA BASED ON COVARIANCE FEATURES AND PREDICTOR |
| title_full | TRACKING OF LOW-SIZED TARGETS FROM NON-STATIONARY CAMERA BASED ON COVARIANCE FEATURES AND PREDICTOR |
| title_fullStr | TRACKING OF LOW-SIZED TARGETS FROM NON-STATIONARY CAMERA BASED ON COVARIANCE FEATURES AND PREDICTOR |
| title_full_unstemmed | TRACKING OF LOW-SIZED TARGETS FROM NON-STATIONARY CAMERA BASED ON COVARIANCE FEATURES AND PREDICTOR |
| title_short | TRACKING OF LOW-SIZED TARGETS FROM NON-STATIONARY CAMERA BASED ON COVARIANCE FEATURES AND PREDICTOR |
| title_sort | tracking of low sized targets from non stationary camera based on covariance features and predictor |
| topic | сопровождение малоразмерных целей нестационарная видеокамера ковариационная матрица предсказание |
| url | https://doklady.bsuir.by/jour/article/view/303 |
| work_keys_str_mv | AT iabaryskievic trackingoflowsizedtargetsfromnonstationarycamerabasedoncovariancefeaturesandpredictor AT vyutsviatkou trackingoflowsizedtargetsfromnonstationarycamerabasedoncovariancefeaturesandpredictor |