| DC Field | Value | Language |
|---|
| dc.contributor.author | Nedzved, O. | - |
| dc.contributor.author | Yashina, V. | - |
| dc.contributor.author | Ablameyko, S. | - |
| dc.contributor.author | Gurevich, I. | - |
| dc.contributor.author | Ren Tiaojuan | - |
| dc.contributor.author | Ye Fangfang | - |
| dc.date.accessioned | 2021-11-08T10:45:53Z | - |
| dc.date.available | 2021-11-08T10:45:53Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.citation | Analysis of Motion of Dynamic Scenes in Microscopy Images: Formalization, Criteria and Results / Nedzved O. [et al.] // Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021) : Proceedings of the 15th International Conference, 21–24 Sept. 2021, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2021. – P. 51–55. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/45860 | - |
| dc.description.abstract | In this paper, we formalize the problem of the motion analysis of dynamic objects and scenes based
on the algorithms and methods developed by the authors for analysis of the cell population behavior. Cell
population is considered as a system of dynamic objects and motion is analyzed by using concept of an integral optical flow. On the base of the main types of motion, the key points of cell movement in the population are identified and stages of cell development and interaction are described. The formalization of operations on dynamic objects has been completed. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | UIIP NASB | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | conference proceedings | ru_RU |
| dc.subject | dynamic object | ru_RU |
| dc.subject | scene | ru_RU |
| dc.subject | motion | ru_RU |
| dc.title | Analysis of Motion of Dynamic Scenes in Microscopy Images: Formalization, Criteria and Results | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021)
|
