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https://elib.psu.by/handle/123456789/28587Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bohush, R. | - |
| dc.contributor.author | Chen, H. | - |
| dc.contributor.author | Ablameyko, S. | - |
| dc.date.accessioned | 2022-01-17T17:59:59Z | - |
| dc.date.available | 2022-01-17T17:59:59Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.citation | Bohush, R. Formalization of People and Crowd Detection and Tracking in Video / R. Bohush, H. Chen, S. Ablameyko // Pattern Recognition and Information Processing (PRIP'2021) : Proceedings of the 15th International Conference, Minsk, 21–24 Sept. 2021. – Minsk : UIIP NASB, 2021. - P. 70-74. | ru_RU |
| dc.identifier.uri | https://elib.psu.by/handle/123456789/28587 | - |
| dc.description.abstract | Оne of the promising areas of development and implementation of artificial intelligence is the automatic detection and tracking of moving objects in video sequence. The paper presents a formalization of the detection and tracking of people and crowd in video. The approach for tracking multiple people on video sequences for indoor and outdoor is described. The results of experiments for video sequences obtained using a stationary and moving video camera are presented. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | UIIP NASB | ru_RU |
| dc.title | Formalization of People and Crowd Detection and Tracking in Video | ru_RU |
| dc.type | Article | ru_RU |
| Appears in Collections: | Публикации в изданиях Республики Беларусь Машинное обучение. Обработкой изображений и видео. Интеллектуальные системы. Информационная безопасность | |
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