Opportunistic Traffic Sensing Using Existing Video Sources (Phase II) Final Report
The Illinois Center for Transportation at the University of Illinois at Urbana-Champaign has released a report that examines how to produce accurate vehicle and turn counts from opportunistically acquired video sources such as surveillance, red light, and other traffic cameras, using computer vision techniques. This report addresses the second phase of the project, which focuses on several refinements to the algorithms used in order to improve accuracy.
This Summary Last Modified On: 8/17/2018