Traffic Foreground Detection at Complex Urban Intersections Using a Novel Background Dictionary Learning Model
In complex urban intersection scenarios, due to heavy traffic and signal control, there are many slow-moving or temporarily stopped vehicles behind the stop lines. At these intersections, it is difficult to extract traffic parameters, such as delay and queue length, based on vehicle detection and tr...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
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Hindawi-Wiley
2021
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| Accès en ligne: | https://doaj.org/article/8c989fa1f6ff4597adb5774e13801f84 |
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