[P] Dashcam Crash Classification
I am working on trying to classify dashcam videos of car crashes as Head-on, Rear-end by others, Rear-end by us, Sideswipe, T-Bone by others and T-Bone by us. We are only bothered about the videos where the dashcam car is involved in the accident. There are two types of accidents involved here
- Visible on dashcam footage – Head-on, Rear-end by us, etc
- Not visible on dashcam footage – Rear-end by others, T-Bone by others
Working with motion features seemed like a good idea to classify this. I have tried using the ideas from “Action Recognition with Improved Trajectories” to build a classifier. However, this has not proved fruitful. As a solution for the visible accident subcase, I am able to identify the other car involved in the accident and pass it through an image classification algorithm to obtain satisfactory results. I am currently exploring dynamic time warping to figure out a solution.
It seems like an interesting problem to solve. Any leads on how to approach this would be highly appreciated. 🙂