Pedestrian Traffic Prediction using Deep Learning
Pedestrian traffic information offers useful insights when developing or maintaining a business. This research combines image processing and machine learning methods to predict pedestrian traffic flowrate and density for up to two days into the future, based on weather data, calendar data, and speci...
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| Main Authors: | Riddhi Joshi, Daniel Silver |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
LibraryPress@UF
2022-05-01
|
| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Subjects: | |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/130731 |
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