Abstract
This paper proposes a gaze prediction model for open signed video content. A face detection algorithm is used to locate faces across each frame in both profile and frontal orientations. A grid-based likelihood ratio track before detect routine is used to predict the orientation of the signer's head, which allows the gaze location to be localised to either the signer or the inset. The face detections are then used to narrow down the gaze prediction further. The gaze predictor is able to predict the results of an eye tracking study with up to 95% accuracy, and an average accuracy of over 80%
| Translated title of the contribution | A gaze prediction technique for open signed video content using a track before detect algorithm |
|---|---|
| Original language | English |
| Title of host publication | 15th IEEE International Conference on Image Processing, 2008 (ICIP 2008) |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 705 - 708 |
| Number of pages | 4 |
| ISBN (Print) | 9781424417650 |
| DOIs | |
| Publication status | Published - Oct 2008 |
| Event | 15th International Conference on Image Processing - San Diego, CA, United States Duration: 1 Oct 2008 → … |
Publication series
| Name | |
|---|---|
| ISSN (Print) | 15224880 |
Conference
| Conference | 15th International Conference on Image Processing |
|---|---|
| Country/Territory | United States |
| City | San Diego, CA |
| Period | 1/10/08 → … |
Bibliographical note
Rose publication type: Conference contributionAdditional information: With accompanying conference presentation
Sponsorship: This work was funded by the British Broadcasting Corporation (BBC)
Terms of use: Copyright © 2008 IEEE. Reprinted from IEEE 15th International Conference on Image Processing, 2008 (ICIP 2008).
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Keywords
- video contexts
- video coding
- gaze tracking
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