Visualizing driving video in temporal profile

Nowadays, many vehicles are equipped with a vehicle borne camera system for monitoring drivers´ behavior, accident investigation, road environment assessment, and vehicle safety design. Huge amount of video data is being recorded daily. Analyzing and interpreting these data in an efficient way has become a non-trivial task. As an index of video for quick browsing, this work maps the video into a temporal image of reduced dimension with as much intrinsic information as possible observed on the road. The perspective projection video is converted to a top-view temporal profile that has precise time, motion, and event information during the vehicle driving. Then, we attempt to interpret dynamic events and environment around the vehicle in such a continuous and compact temporal profile. The reduced dimension of the temporal profile allows us to browse the video intuitively and efficiently.