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Author Pinhanez, C.S. ♦ Bobick, A.F.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1998
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Humans ♦ Robotics and automation ♦ Laboratories ♦ Sensor phenomena and characterization ♦ Algebra ♦ Computer networks ♦ Optical propagation ♦ Object detection ♦ Motion detection ♦ Optical sensors
Abstract In this paper we develop a representation for the temporal structure inherent in human actions and demonstrate an effective method for using that representation to detect the occurrence of actions. The temporal structure of the action, sub-actions, events, and sensor information is described using a constraint network based on Allen's interval algebra. We map these networks onto a simpler, S-valued domain (past, now, fut) network-a PNF-network-to allow fast detection of actions and sub-actions. The occurrence of an action is computed by considering the minimal domain of its PNF-network, under constraints imposed by the current state of the sensors and the previous states of the network. We illustrate the approach with examples, showing that a major advantage of PNF propagation is the detection and removal of in-consistent situations.
Description Author affiliation: Media Lab., MIT, Cambridge, MA, USA (Pinhanez, C.S.)
ISBN 0818684976
ISSN 10636919
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1998-06-25
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 229.12 kB
Page Count 7
Starting Page 898
Ending Page 904


Source: IEEE Xplore Digital Library