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Obiekt
Tytuł: A data association model for analysis of crowd structure
Contributor:
Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.
Group publication title:
Abstract:
The paper discusses a non-deterministic model for data association tasks in visual surveillance of crowds. Using detection and tracking of crowd components (i.e., individuals and groups) as baseline tools, we propose a simple algebraic framework for maintaining data association (continuity of labels assigned to crowd components) between subsequent video-frames in spite of possible disruptions and inaccuracies in tracking/detection algorithms. ; Formally, two alternative schemes (which, in practice, can be jointly used) are introduced, depending on whether individuals or groups can be prospectively better tracked in the current scenario. In the first scheme, only individuals are tracked, and the continuity of group labels is inferred without explicitly tracking the groups. In the second scheme, only group tracking is performed, and associations between individuals are inferred from group tracking. ; The associations are built upon non-deterministic estimates of memberships (individuals in groups) and estimates obtained directly from the baseline detection and tracking algorithms. The framework can incorporate any detectors and trackers (both classical or DL-based) as long as they can provide some geometric outlines (e.g., bounding boxes) of the crowd components. The formal analysis is supported by experiments in sample scenarios, where the framework provides meaningful performance improvements in various crowd analysis tasks.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Resource Identifier:
DOI:
Pages:
Source:
AMCS, volume 32, number 1 (2022) ; kliknij tutaj, żeby przejść
Language:
License CC BY 4.0:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Kolekcje, do których przypisany jest obiekt:
- Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Repository > Types of work > Articles
- Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2022)
Data ostatniej modyfikacji:
22 lip 2025
Data dodania obiektu:
22 lip 2025
Liczba wyświetleń treści obiektu:
11
Wszystkie dostępne wersje tego obiektu:
https://zbc.uz.zgora.pl/repozytorium/publication/101431
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 32, number 1 (2022)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 32, number 2 (2022)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 32, number 3 (2022)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 32, number 4 (2022)
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| Nazwa wydania | Data |
|---|---|
| A data association model for analysis of crowd structure | 22 lip 2025 |
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Xue, Yiran Liu, Peng Tao, Ye Tang, Xianglong Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Flores-Flores, Juan-Pablo Martinez-Guerra, Rafael Clempner, Julio B. - ed. Ikonen, Enso - ed. Kurdyukov, Alexander P. - ed.
