https://libeldoc.bsuir.by/handle/123456789/45777| Title: | Formalization of People and Crowd Detection and Tracking in Video |
| Authors: | Bohush, R. Huafeng Chen Ablameyko, S. Абламейко, С. В. |
| Keywords: | материалы конференций;conference proceedings;video surveillance;moving object;convolutional neural network;tracking by detection;motion trajectory |
| Issue Date: | 2021 |
| Publisher: | UIIP NASB |
| Citation: | Bohush, R. Formalization of People and Crowd Detection and Tracking in Video / Bohush R., Huafeng Chen, Ablameyko S. // 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. 65–69. |
| Abstract: | One 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. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/45777 |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021) |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Bohush_Formalization.pdf | 1.11 MB | Adobe PDF | View/Open |
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