摘要: |
Identifying and tracking objects in video data frames has become significantly easier in recent years, thanks to advances in artificial intelligence and greater access to increased computing power. Some commercially available products allow transportation agencies to leverage new video data analysis capabilities to support traffic analysis, operations, and safety applications. However, such products often require the use of dedicated hardware which is typically costly.
However, many transportation agencies own extensive networks of pan-zoom-tilt cameras, used mostly for traffic monitoring. The analysis of the traffic streams produced by such cameras can potentially yield valuable data sets for a number of planning and operation applications, and support analyses which are not possible using data from simpler sensors. |