Human silhouette matching based on moment invariants

Yong-Chao Sun; Xian-Jie Qiu; Shi-Hong Xia; Zhao-Qi Wang

doi:10.1117/12.631459

24 June 2005 Human silhouette matching based on moment invariants

Yong-Chao Sun, Xian-Jie Qiu, Shi-Hong Xia, Zhao-Qi Wang

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59600E (2005) https://doi.org/10.1117/12.631459
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

Abstract

This paper aims to apply the method of silhouette matching based on moment invariants to infer the human motion parameters from video sequences of single monocular uncalibrated camera. Currently, there are two ways of tracking human motion: Marker and Markerless. While a hybrid framework is introduced in this paper to recover the input video contents. A standard 3D motion database is built up by marker technique in advance. Given a video sequences, human silhouettes are extracted as well as the viewpoint information of the camera which would be utilized to project the standard 3D motion database onto the 2D one. Therefore, the video recovery problem is formulated as a matching issue of finding the most similar body pose in standard 2D library with the one in video image. The framework is applied to the special trampoline sport where we can obtain the complicated human motion parameters in the single camera video sequences, and a lot of experiments are demonstrated that this approach is feasible in the field of monocular video-based 3D motion reconstruction.

Citation Download Citation

Yong-Chao Sun, Xian-Jie Qiu, Shi-Hong Xia, and Zhao-Qi Wang "Human silhouette matching based on moment invariants", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59600E (24 June 2005); https://doi.org/10.1117/12.631459

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