Distributed Real-Time Computation of the Point of Gaze

Year, pages: 2014, 735 - 756

This paper presents a minimally intrusive real-time gaze-tracking prototype to be used in several scenarios, including a laboratory stall and an in-vehicle system. The system requires specific infrared illumination to allow it to work with variable light conditions. However, it is minimally intrusive due to the use of a carefully configured switched infrared LED array. Although the perceived level of illumination generated by this array is high, it is achieved using low-emission infrared light beams. Accuracy is achieved through a precise estimate of the center of the user's pupil. To overcome inherent time restrictions while using low-cost processors, its main image-processing algorithm has been distributed over four main computing tasks. This structure not only enables good performance, but also simplifies the task of experimenting with alternative computationally-complex algorithms and with alternative tracking models based on locating both user eyes and several cameras to improve user mobility.

Dopico, G., Pedraza, J., Córdoba, M., Sánchez, F., Pérez, A. 2014. Distributed Real-Time Computation of the Point of Gaze. In Computing and Informatics, vol. 33, no.4, pp. 735-756. 1335-9150.

Dopico, G., Pedraza, J., Córdoba, M., Sánchez, F., Pérez, A. (2014). Distributed Real-Time Computation of the Point of Gaze. Computing and Informatics, 33(4), 735-756. 1335-9150.