Отрывок: However, in road intersec- tions, especially in unregulated ones where there are no traffic lights, cars accumulation and divergence can hap- pen. Actually, these three types of movement are the main componets that constitutes usual traffic events, such as car flow stopping, traffic congestion, traffic accidents, etc. So, we define the following types of cars movement: - cars directional ...
Название : | Traffic extreme situations detection in video sequences based on integral optical flow |
Авторы/Редакторы : | Chen, H. Ye, S. Nedzvedz, A. Nedzvedz, O. Lv, H. Ablameyko, S. |
Ключевые слова : | integral optical flow image processing road traffic control video surveillance |
Дата публикации : | Авг-2019 |
Издательство : | Новая техника |
Библиографическое описание : | Chen H, Ye S, Nedzvedz A, Nedzvedz O, Lv H, Ablameyko S. Traffic extreme situations detection in video sequences based on integral optical flow. Computer Optics 2019; 43(4): 647-652. DOI: 10.18287/2412-6179-2019-43-4-647-652. |
Серия/номер : | 43;4 |
Аннотация : | Road traffic analysis is an important task in many applications and it can be used in video surveillance systems to prevent many undesirable events. In this paper, we propose a new method based on integral optical flow to analyze cars movement in video and detect flow extreme situations in real-world videos. Firstly, integral optical flow is calculated for video sequences based on optical flow, thus random background motion is eliminated; secondly, pixel-level motion maps which describe cars movement from different perspectives are created based on integral optical flow; thirdly, region-level indicators are defined and calculated; finally, threshold segmentation is used to identify different cars movements. We also define and calculate several parameters of moving car flow including direction, speed, density, and intensity without detecting and counting cars. Experimental results show that our method can identify cars directional movement, cars divergence and cars accumulation effectively. |
URI (Унифицированный идентификатор ресурса) : | https://dx.doi.org/10.18287/2412-6179-2019-43-4-647-652 http://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/Traffic-extreme-situations-detection-in-video-sequences-based-on-integral-optical-flow-78794 |
Другие идентификаторы : | Dspace\SGAU\20190924\78794 |
ГРНТИ: | 29.31.15 |
Располагается в коллекциях: | Журнал "Компьютерная оптика" |
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Файл | Описание | Размер | Формат | |
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430417.pdf | Основная статья | 1.05 MB | Adobe PDF | Просмотреть/Открыть |
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