Arvind Status Report 04/16

This week I have worked on continuing to work on advice given to us from our demo. The main thing I worked on was expanding the testing of our algorithm to more videos. Before we had 3 video clips that we tested our algorithm on. Now we have a set of 20 video clips that we have collected of crashes and tested our crash detection software on. They all work reasonably well. They all detect the crash, however there are false positives due to detecting larger bounding boxes due due to some factors in certain video clips. For example shadows and larger vehicles such as cars lead to larger bounding boxes for the objects tracked and so they easily hit other bounding boxes and trigger a false positive incident. We are working on switching the model to only consider the central point and include some kind of area threshold to determine intersections and crashes in the future to make the accuracy better for the future. We think the algorithm we have presently works well enough for a MVP, but we would like to improve upon our current design based on our test results on the video clips with shadows and larger vehicles.