A trajectory based event classification from UAV videos and its evaluation framework
Sung Chun Lee · 2016
Videos from an Unmanned Aerial Vehicle (UAV) platform have become more available in the surveillance community. As the number of video samples are increasing, automated analysis of these videos have become important. In this paper, we describe the task of vehicle movement event classification in videos taken from UAV. Given object track information from UAV video sequences, we processed the noisy trajectories to make reliable so that we can classify each trajectory as movement event using trajectory curvature and speed. We also derived an evaluation methodology framework and tested our method with a public UAV dataset.