A practical spatial data capture technique for human motion research

Abstract

The paper discusses the evaluation of a video image-splitting device for human motion research. NuView, a commonly available device and a digital video camera (DV) were used to capture stereo-video footage of athletes in training. The device permits two distinct views (left and right perspective views) to enter a single lens DV. A single convergence control in the device allows users to obtain stereo view of near and far objects. The research involves the calibration of a customized system for optimum motion tracking accuracy. A stereo-digitizing photogrammetric technique was used to determine the accuracy of the system. The results show that system can achieve optimum spatial data accuracy of 15 mm at an object distance of 8 m. The different in the horizontal and vertical accuracies are similar to those obtained by conventional stereo-aerial photogrammetric technique, i.e. the horizontal component is approximately two times better than z component.