Motion Analysis in Static Images

Motion Analysis in Static Images

연구 분야: Strategies

학회: International Symposium on Information and Communication Technology

In this paper, we address the recognition of motion illusions in static images. To this end, we collect a new dataset containing images both with and without motion illusions. We then benchmark state-of-the-art deep learning models to determine the presence of illusions in the images. Additionally, we assess the role of color in the recognition process. The experimental results show that deep learning models are effective in identifying motion illusions, with superior performance on color images, highlighting the importance of color in analyzing motion within static images.