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  "maintainer": "[{\"Maintainer Email\": 
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  "maintainer": "[{\"Maintainer Email\": 
            
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\"felix.froehling@carissma.eu\", \"maintainer\": \"Felix 
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\"felix.froehling@carissma.eu\", \"maintainer\": \"Felix 
            
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Fr\u00f6hling\", \"phone\": \"\", \"role\": \"contact person\"}, 
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Fr\u00f6hling\", \"phone\": \"\", \"role\": \"contact person\"}, 
            
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{\"Maintainer Email\": \"pascal.brunner@carissma.eu\", \"maintainer\": 
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{\"Maintainer Email\": \"pascal.brunner@carissma.eu\", \"maintainer\": 
            
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\"Pascal Brunner\", \"phone\": \"\", \"role\": \"contact person\"}]",
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\"Pascal Brunner\", \"phone\": \"\", \"role\": \"contact person\"}]",
            
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  "metadata_created": "2023-10-24T12:10:36.801346",
            
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  "metadata_modified": "2023-11-28T09:40:52.840558",
            
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  "name": "traffic-camera-tracking-savenow",
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  "name": "traffic-camera-tracking-software-savenow",
            
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  "notes": "Main goals of this project is to detect, track and obtain 
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  "notes": "Main goals of this project is to detect, track and obtain 
            
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velocity information of seven different traffic actors (Escooter, 
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velocity information of seven different traffic actors (Escooter, 
            
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Pedestrians, Cyclists, Motorcycle, Car, Truck, Bus) from a video 
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Pedestrians, Cyclists, Motorcycle, Car, Truck, Bus) from a video 
            
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footage of a traffic intersection in Ingolstadt. This project is a 
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footage of a traffic intersection in Ingolstadt. This project is a 
            
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part of SaveNoW, where all these data are used to create a digital 
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part of SaveNoW, where all these data are used to create a digital 
            
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twin of Ingolstadt for simulation purposes.\r\n\r\n<img 
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twin of Ingolstadt for simulation purposes.\r\n\r\n<img 
            
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.com/savenow/Traffic_Camera_Tracking/main/readme_photos/Overview.png\" 
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.com/savenow/Traffic_Camera_Tracking/main/readme_photos/Overview.png\" 
            
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alt=\"B3\" width=\"800px\">\r\n\r\nThis algorithm has been specially 
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alt=\"B3\" width=\"800px\">\r\n\r\nThis algorithm has been specially 
            
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trained to distinguish between cyclists, e-scooter riders and 
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trained to distinguish between cyclists, e-scooter riders and 
            
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pedestrians. This data is important to better study the traffic 
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pedestrians. This data is important to better study the traffic 
            
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density and the behavior of e-scooters. \r\nThe weights of the Network 
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density and the behavior of e-scooters. \r\nThe weights of the Network 
            
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are currently not part of the Github repo. If you are interessted in 
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are currently not part of the Github repo. If you are interessted in 
            
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the weights, please contact Pascal Brunner.",
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the weights, please contact Pascal Brunner.",
            
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      "description": "Main goals of this project is to detect, track 
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      "description": "Main goals of this project is to detect, track 
            
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and obtain velocity information of seven different traffic actors 
122
and obtain velocity information of seven different traffic actors 
            
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(Escooter, Pedestrians, Cyclists, Motorcycle, Car, Truck, Bus) from a 
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(Escooter, Pedestrians, Cyclists, Motorcycle, Car, Truck, Bus) from a 
            
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video footage of a traffic intersection in Ingolstadt. This project is 
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video footage of a traffic intersection in Ingolstadt. This project is 
            
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a part of SaveNoW, where all these data are used to create a digital 
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a part of SaveNoW, where all these data are used to create a digital 
            
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twin of Ingolstadt for simulation purposes.",
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twin of Ingolstadt for simulation purposes.",
            
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.com/savenow/Traffic_Camera_Tracking#traffic-camera-tracking-savenow",
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}