A-IFSs based iterative thresholding in gait analysis

In this work, image segmentation is addressed as a crucial step within a specific motion analysis methodology. The issued methodology is used in biomechanics in order to obtain kinematics measurements of human and animal movement, namely, human and rat gait. The motion analysis system involves recording the movement, segmenting the images and, identification and tracking of the points of interest along the image sequences in order to estimate the kinematics parameters that will ultimately lead us to meaningful kinematics measurements. The quality of the segmentation revealed itself to be determinant regarding the accuracy of the biomechanics behavior characterization.