Parallax information fusion-based for dance moving image posture extraction

Abstract

We, the Publisher, have retracted the following article: Yin Lyu, Lin Teng (2022). Parallax information fusion-based for dance moving image posture extraction. EAI Endorsed Scal Inf Syst. http://dx.doi.org/10.4108/eai.8-4-2022.173799

The existing motion image posture contour extraction results have low definition and serious detail loss. To solve this problem, we propose a novel dance moving image posture extraction method based on parallax information fusion. Firstly, the image with motion information is statistically analyzed by using the information fusion process to determine the position of the motion region. After the noise is reduced by morphological processing, the initial motion posture profile is obtained. The parallax between different control points and the center is used as the active contour model to shape the contraction force and expansion force, which can effectively assist the initial edge contour curve to gradually approach the real edge contour. Finally, the contour of the current moving image is extracted from the sequence image contour to obtain the attitude contour of the moving image. The experimental results show that the proposed method can extract the contour of the moving image clearly with less detail loss, which proves that the proposed method has strong practical performance and can effectively find the contour of the moving object.