An automatic eye detection and tracking technique for stereo video sequences

Anirudh Paduru; Dimitrios Charalampidis; Brandon Fouts; Kim Jovanovich

doi:10.1117/12.819081

27 April 2009 An automatic eye detection and tracking technique for stereo video sequences

Anirudh Paduru, Dimitrios Charalampidis, Brandon Fouts, Kim Jovanovich

Proceedings Volume 7341, Visual Information Processing XVIII; 73410L (2009) https://doi.org/10.1117/12.819081
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

Human-computer interfacing (HCI) describes a system or process with which two information processors, namely a human and a computer, attempt to exchange information. Computer-to-human (CtH) information transfer has been relatively effective through visual displays and sound devices. On the other hand, the human-tocomputer (HtC) interfacing avenue has yet to reach its full potential. For instance, the most common HtC communication means are the keyboard and mouse, which are already becoming a bottleneck in the effective transfer of information. The solution to the problem is the development of algorithms that allow the computer to understand human intentions based on their facial expressions, head motion patterns, and speech. In this work, we are investigating the feasibility of a stereo system to effectively determine the head position, including the head rotation angles, based on the detection of eye pupils.

Citation Download Citation

Anirudh Paduru, Dimitrios Charalampidis, Brandon Fouts, and Kim Jovanovich "An automatic eye detection and tracking technique for stereo video sequences", Proc. SPIE 7341, Visual Information Processing XVIII, 73410L (27 April 2009); https://doi.org/10.1117/12.819081

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KEYWORDS

Cameras

Eye

Head

Algorithm development

Automatic tracking

Distance measurement

Image segmentation

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