Abstract

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-emision 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.

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Cite this article

@article{cai-724,
  author  = {Antonio García Dopico and Jose L. Pedraza and M. Luisa Cordoba and Francisco M. Sanchez and Antonio Perez},
  title   = {Distributed Real-Time Computation of the Point of Gaze},
  journal = {Computing and Informatics},
  volume  = {33},
  number  = {4},
  pages   = {735--756},
  year    = {2014},
  issn    = {1335-9150},
  url     = {https://cai.type.sk/content/2014/4/distributed-real-time-computation-of-the-point-of-gaze/}
}
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