Authors:Anne-Marie Burns, Barbara Mazzarino
This paper compares different algorithms for tracking the position of fingers in a two-dimensional environment. Four algorithms have been implemented in EyesWeb, developed by DIST-InfoMus labo- ratory. The three first algorithms use projection signatures, the circular Hough transform, and geometric properties, and rely only on hand char- acteristics to locate the finger. The fourth algorithm uses color markers and is employed as a reference system for the other three. All the al- gorithms have been evaluated using two-dimensional video images of a hand performing different finger movements on a flat surface. Results about the accuracy, precision, latency and computer resource usage of the different algorithms are provided. Applications of this research in- clude human-computer interaction systems based on hand gesture, sign language recognition, hand posture recognition, and gestural control of music.