This week we focused on refining our interim demo based on the feedback we got last week. Since Professor Kim was not present in person last week, we will be presenting to him virtually.
Jon and Arvind have been working on improving the bounding box algorithms that are able to track the moving objects in the video frames for crash detection. This algorithm works a lot better than the contours based one we had shown the previous meeting. this algorithm works on removing the background, choosing the background frame from the video feed as one with no (or few) objects other than those always present in the background. After removing this we get outlines of all objects that were not present in the background, and can track them using optical flow packages.
Goran has been working on the rerouting aspects of the project. The rerouting is now able to work interactively with the crash detection aspects. Whenever the rerouting receives a 1 in a text file, it will begin to reroute traffic based on the site and severity of the crash. We are currently using the traffic lights and traffic data on 5th avenue in Pittsburgh as our model.
Overall, the project is on schedule and we don’t expect any major changes to our gant chart.