Title:
Egocentric Field-of-View Localization Using First-Person Point-of-View Devices
Egocentric Field-of-View Localization Using First-Person Point-of-View Devices
| dc.contributor.author | Bettadapura, Vinay | |
| dc.contributor.author | Essa, Irfan | |
| dc.contributor.author | Pantofaru, Caroline | |
| dc.contributor.corporatename | Georgia Institute of Technology. Institute for Robotics and Intelligent Machines | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. College of Computing | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. School of Interactive Computing | |
| dc.contributor.corporatename | Google (Firm) | |
| dc.date.accessioned | 2015-05-29T19:54:03Z | |
| dc.date.available | 2015-05-29T19:54:03Z | |
| dc.date.issued | 2015-01 | |
| dc.description | © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. | en_US |
| dc.description | DOI: 10.1109/WACV.2015.89 | |
| dc.description.abstract | We present a technique that uses images, videos and sensor data taken from first-person point-of-view devices to perform egocentric field-of-view (FOV) localization. We define egocentric FOV localization as capturing the visual information from a person’s field-of-view in a given environment and transferring this information onto a reference corpus of images and videos of the same space, hence determining what a person is attending to. Our method matches images and video taken from the first-person perspective with the reference corpus and refines the results using the first-person’s head orientation information obtained using the device sensors. We demonstrate single and multi-user egocentric FOV localization in different indoor and outdoor environments with applications in augmented reality, event understanding and studying social interactions. | en_US |
| dc.embargo.terms | null | en_US |
| dc.identifier.citation | V. Bettadapura, I. Essa, and C. Pantofaru (2015), “Egocentric Field-of-View Localization Using First-Person Point-of-View Devices,” in Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV), January 2015, pp. 626-633. | en_US |
| dc.identifier.doi | 10.1109/WACV.2015.89 | |
| dc.identifier.uri | http://hdl.handle.net/1853/53365 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Georgia Institute of Technology | en_US |
| dc.publisher.original | Institute of Electrical and Electronics Engineers | |
| dc.subject | Augmented reality | en_US |
| dc.subject | Egocentric field-of-view localization | en_US |
| dc.subject | Event understanding | en_US |
| dc.subject | Indoor environments | en_US |
| dc.subject | Outdoor environments | en_US |
| dc.subject | Social interactions | en_US |
| dc.title | Egocentric Field-of-View Localization Using First-Person Point-of-View Devices | en_US |
| dc.type | Text | |
| dc.type.genre | Post-print | |
| dc.type.genre | Proceedings | |
| dspace.entity.type | Publication | |
| local.contributor.author | Essa, Irfan | |
| local.contributor.corporatename | Institute for Robotics and Intelligent Machines (IRIM) | |
| relation.isAuthorOfPublication | 84ae0044-6f5b-4733-8388-4f6427a0f817 | |
| relation.isOrgUnitOfPublication | 66259949-abfd-45c2-9dcc-5a6f2c013bcf |