Detecting image frames which contain a moving object from a severely distorted video stream using dynamic mode decomposition

Daisuke Uchida; Atsushi Yamashita; Hajime Asama

doi:10.1117/12.2566797

1 June 2020 Detecting image frames which contain a moving object from a severely distorted video stream using dynamic mode decomposition

Daisuke Uchida, Atsushi Yamashita, Hajime Asama

Author Affiliations +

Proceedings Volume 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020; 1151510 (2020) https://doi.org/10.1117/12.2566797
Event: International Workshop on Advanced Imaging Technologies 2020 (IWAIT 2020), 2020, Yogyakarta, Indonesia

Abstract

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.

Citation Download Citation

Daisuke Uchida, Atsushi Yamashita, and Hajime Asama "Detecting image frames which contain a moving object from a severely distorted video stream using dynamic mode decomposition", Proc. SPIE 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020, 1151510 (1 June 2020); https://doi.org/10.1117/12.2566797

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