Visual Surveillance for Movement Rehabilitation

The paper presents an attempt to create a system for visual surveillance for movement rehabilitation. The Delaunay triangulation was used as a key method for skeletonization of detected human silhouette. Also, the Hough transform was performed on skeletons of selected body parts in order to obtain slants of those body parts. Analysis of slant changes gives information of movement range, number of exercise repetitions and in general, to assessing correctness of performed exercises. The presented results show that - under some circumstances - it is possible to create visual system for such task.