Detecting image frames which contain a moving object from a severely distorted video stream using dynamic mode decomposition
Daisuke Uchida, Atsushi Yamashita, Hajime Asama · 2020
There are few moving object detection techniques dealing with severely distorted video imagery, such as one taken from above the wavy water surface. In this paper, a method that identifies image frames containing a moving object from a video taken from above the wavy water surface is proposed. Considering the difficulty to apply common video processing techniques to such a video suffering from the severe distortion, the proposed method utilizes dynamic mode decomposition, a data-driven method for analysis of dynamical systems, to develop an algorithm that extracts information of a moving object from a video stream. The experimental evaluation shows that the proposed method is able to identify image frames containing a moving object from a severely distorted video stream.