Analyzing eye fixations and gaze orientations on films and pictures

ABSTRACT

Eye movements are arguably the most natural and repetitive movement of a human being. The most mundane activity, such as watching television or reading a newspaper, involves this automatic activity which consists of shifting our gaze from one point to another. Identification of the components of eye movements (fixations and saccades) is an essential part in the analysis of visual behavior because these types of movements provide the basic elements used by further investigations of human vision. However, many of the algorithms that detect fixations present a number of problems. In this paper, we present the results of a new fixation identification technique that is based on clustering of eye positions, using projections and a projection aggregation applied to static pictures. We also present results of a new method that computes dispersion of eye fixations in videos considering a multi-user environment.

REFERENCES

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.4 IMAGE PROCESSING AND COMPUTER VISION
      I.4.8 Scene Analysis
          Subjects: Tracking

Additional Classification:
  I. Computing Methodologies
  I.4 IMAGE PROCESSING AND COMPUTER VISION
      I.4.8 Scene Analysis
          Subjects: Motion

  J. Computer Applications
  J.7 COMPUTERS IN OTHER SYSTEMS
      Subjects: Consumer products

General Terms:
Algorithms, Human Factors, Theory

Keywords:
dispersion, eye fixation, eye gaze, film, picture, scan path, user