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Author Pentland, A.
Sponsorship IEEE Computer Society
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1979
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science ♦ Technology ♦ Medicine & health ♦ Engineering & allied operations
Subject Keyword Wearable computers ♦ Humans ♦ Computer aided instruction ♦ Machine vision ♦ Application software ♦ Embedded computing ♦ Biomedical monitoring ♦ Taxonomy ♦ Surveillance ♦ Computerized monitoring
Abstract The research topic of looking at people, that is, giving machines the ability to detect, track, and identify people and more generally, to interpret human behavior, has become a central topic in machine vision research. Initially thought to be the research problem that would be hardest to solve, it has proven remarkably tractable and has even spawned several thriving commercial enterprises. The principle driving application for this technology is "fourth generation" embedded computing: "smart" environments and portable or wearable devices. The key technical goals are to determine the computer's context with respect to nearby humans (e.g., who, what, when, where, and why) so that the computer can act or respond appropriately without detailed instructions. The paper examines the mathematical tools that have proven successful, provides a taxonomy of the problem domain, and then examines the state of the art. Four areas receive particular attention: person identification, surveillance/monitoring, 3D methods, and smart rooms/perceptual user interfaces. Finally, the paper discusses some of the research challenges and opportunities.
Description Author affiliation :: Media Lab., MIT, Cambridge, MA, USA
ISSN 01628828
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2000-01-01
Publisher Place U.S.A.
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Volume Number 22
Issue Number 1
Size (in Bytes) 1.51 MB
Page Count 13
Starting Page 107
Ending Page 119

Source: IEEE Xplore Digital Library