Approach of Human Motion Capture Data Processing Based on Template Matching

In optical motion capture system,markers may be easily confused because of the approximate and symmetrical distributing structure.An approach based on template matching was proposed for the processing of human motion data.The human template was segmented to several rigid sub-templates by the local rigid structure.Matching point-set with least error was searched for each sub-template from the human motion capture data by affine transformation,and the scattered data was identified by point tracking.The ambiguity of identification was notability reduced.The missing data is reconstructed and when error matching is encountered the system is able to check and rectify them automatically.Manual intervention isn't necessary through the whole process.Experiment results indicate that this approach is able to identify the markers correctly,the reconstruction of the missing data is ideal and the processing is in real time.All these prove that the approach in this article is available.