Video-based analysis of gait with side views

Gait analysis has emerged as one of the most important medical field recently due to its wide range applications. Many recent computer-vision-based approaches have been made to reduce the cost of the expensive motion capture systems while assuring high accuracy result. In this paper, we introduce our new low-cost gait analysis system that is composed of two cheap monocular cameras (camcorders) placed on the left and right side of a treadmill. Each half human skeleton model is reconstructed from each view based on dynamic color segmentation, the gait analysis is then performed on these two models. We validate our method with ground truth data obtained with markers manually placed on the subject body. Comparison with the 3D skeleton reconstructed with the Kinect sensor are also presented. Our results on different subjects show that although our methodology is simple and low-cost, it is very efficient and provides accurate measure for gait assessment.