Flycatcher : fusion of gaze with hierarchical image segmentation for robust object detection
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
| Published: |
Massachusetts Institute of Technology
2006
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/33102 |
| _version_ | 1826208011373248512 |
|---|---|
| author | Bartelma, Jeffrey M |
| author2 | Deb Roy. |
| author_facet | Deb Roy. Bartelma, Jeffrey M |
| author_sort | Bartelma, Jeffrey M |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. |
| first_indexed | 2024-09-23T13:58:54Z |
| format | Thesis |
| id | mit-1721.1/33102 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T13:58:54Z |
| publishDate | 2006 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/331022019-04-11T14:09:33Z Flycatcher : fusion of gaze with hierarchical image segmentation for robust object detection Fusion of gaze with hierarchical image segmentation for robust object detection Bartelma, Jeffrey M Deb Roy. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. Includes bibliographical references (p. 41). We present Flycatcher, a prototype system illustrating the idea of gaze- based image processing in the context of object segmentation for wearable photography. The prototype includes a wearable eye tracking device that captures real-time eyetraces of a user, and a wearable video camera that captures first-person perspective images of the user's visual environment. The system combines the deliberate eyetraces of the user with hierarchical image segmentation applied to scene images to achieve reliable object segmentation. In evaluations with certain classes of real-world images, fusion of gaze and image segmentation information led to higher object detection accuracy than either signal alone. Flycatcher may be integrated with assistive communication devices, enabling individuals with severe motor impairments to use eye control to communicate about objects in their environment. The system also represents a promising step toward an eye-driven interface for "copy and paste" visual memory augmentation in wearable computing applications. by Jeffrey M. Bartelma. M.Eng. 2006-06-19T17:40:31Z 2006-06-19T17:40:31Z 2004 2004 Thesis http://hdl.handle.net/1721.1/33102 62221366 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 42 p. 2031525 bytes 2031434 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Bartelma, Jeffrey M Flycatcher : fusion of gaze with hierarchical image segmentation for robust object detection |
| title | Flycatcher : fusion of gaze with hierarchical image segmentation for robust object detection |
| title_full | Flycatcher : fusion of gaze with hierarchical image segmentation for robust object detection |
| title_fullStr | Flycatcher : fusion of gaze with hierarchical image segmentation for robust object detection |
| title_full_unstemmed | Flycatcher : fusion of gaze with hierarchical image segmentation for robust object detection |
| title_short | Flycatcher : fusion of gaze with hierarchical image segmentation for robust object detection |
| title_sort | flycatcher fusion of gaze with hierarchical image segmentation for robust object detection |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/33102 |
| work_keys_str_mv | AT bartelmajeffreym flycatcherfusionofgazewithhierarchicalimagesegmentationforrobustobjectdetection AT bartelmajeffreym fusionofgazewithhierarchicalimagesegmentationforrobustobjectdetection |