Kafa duruşu kestirimlerinden bakiş yönünün türetilmesi

Translated title of the contribution: Derivation of gaze direction from head pose estimates

Zeynep Yücel, Albert Ali Salah, Çetin Meriçli, Tekin Meriçli

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Automatic estimation of gaze direction information is important for certain applications of human-robot and human-computer interaction. Depending on the properties of the specific application, it may be required to derive this information in real time from low resolution visual inputs, with as much precision as possible. In this paper we present an algorithm for transforming head pose estimates to gaze direction estimates. The main contribution of this study lies in the fact that it makes a clear distinction between head pose and gaze direction. Unlike some of the previous works in this field, we do not correct the head pose to correspond to a possible attention fixation point in accordance with the experiment scenario. Instead we propose using a concrete and environment-independent method for this purpose. To transform the head pose estimates into gaze direction, a Gaussian process regression model is proposed and the reasons validating this choice are discussed in detail.

Translated title of the contributionDerivation of gaze direction from head pose estimates
Original languageTurkish
Title of host publicationSIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference
Number of pages4
Publication statusPublished - Dec 1 2010
Externally publishedYes
Event18th IEEE Signal Processing and Communications Applications Conference, SIU 2010 - Diyarbakir, Turkey
Duration: Apr 22 2010Apr 24 2010

Publication series

NameSIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference



ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing


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