First-Person Vision
For understanding the behavior, intent, and environment of a person, the surveillance metaphor is traditional; that is, install cameras and observe the subject, and his/her interaction with other people and the environment. Instead, we argue that the first-person vision (FPV), which senses the envir...
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| Published in | Proceedings of the IEEE Vol. 100; no. 8; pp. 2442 - 2453 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
IEEE
01.08.2012
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0018-9219 1558-2256 |
| DOI | 10.1109/JPROC.2012.2200554 |
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| Abstract | For understanding the behavior, intent, and environment of a person, the surveillance metaphor is traditional; that is, install cameras and observe the subject, and his/her interaction with other people and the environment. Instead, we argue that the first-person vision (FPV), which senses the environment and the subject's activities from a wearable sensor, is more advantageous with images about the subject's environment as taken from his/her view points, and with readily available information about head motion and gaze through eye tracking. In this paper, we review key research challenges that need to be addressed to develop such FPV systems, and describe our ongoing work to address them using examples from our prototype systems. |
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| AbstractList | For understanding the behavior, intent, and environment of a person, the surveillance metaphor is traditional; that is, install cameras and observe the subject, and his/her interaction with other people and the environment. Instead, we argue that the first-person vision (FPV), which senses the environment and the subject's activities from a wearable sensor, is more advantageous with images about the subject's environment as taken from his/her view points, and with readily available information about head motion and gaze through eye tracking. In this paper, we review key research challenges that need to be addressed to develop such FPV systems, and describe our ongoing work to address them using examples from our prototype systems. |
| Author | Kanade, Takeo Hebert, Martial |
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| SubjectTerms | Behavioral science Computer vision eye tracking Image matching Intelligent systems Object recognition Quality assessment quality of life technologies Service robots Surveillance Tracking Videos Wearable sensors |
| Title | First-Person Vision |
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