Two-step approach for real-time eye tracking with a new filtering technique

Shinjiro Kawato*, Jun Ohya

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

37 Citations (Scopus)


Head and face detection and eye tracking in realtime are the first steps for head gesture recognition and/or face expression recognition for a human-computer interaction interface. We propose a two-step approach for eye tracking in video streams. First, we detect or track a point between the eyes. For this task, we apply a special filter we proposed before. Once we detect the point between the eyes, it is fairly easy to locate the eyes, which are the two small darkest parts on each side of this point. Because detecting the point between the eyes is easier and more stable than directly detecting the eyes, the system can robustly track the eyes. We implement the system on a SGI O2 workstation. The video image size is 320×240 pixels. The system processes images at seven frames per second in the detection mode, and 13 frames per second in the tracking mode without any special hardware.

Original languageEnglish
Pages (from-to)1366-1371
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Publication statusPublished - 2000
Externally publishedYes
Event2000 IEEE Interantional Conference on Systems, Man and Cybernetics - Nashville, TN, USA
Duration: 2000 Oct 82000 Oct 11

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture


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