1997
@inproceedings{PAO1997,
vgclass = {refpap},
author = {Alex Pentland and Ali Azarbayjani and Nuria Oliver and
Matt Brand},
title = {Real-Time 3{D} Interpretation of Human Behavior},
booktitle = {The 10th Scandinavian Conference on Image Analysis},
address = {Lappeenranta, Finland},
pages = {189--196},
month = {June},
year = {1997},
abstract = {We describe a system for real-time 3-D tracking and
classification of human behavior using only modest computational
resources. The system is based on use of 2-D \emph{blob features}, a
technique for characterizing the probability distribution function
(PDF) of the appearance of interesting objects. From these features we
recover 3-D shape, translations, and orientations of hands/head/mouth
and the relative orientation of the cameras. The system is
self-calibrating and can track people's head and hands with RMS errors
of 1--2 cm in translation and 2 degrees in rotation. Patterns of
behavior (e.g., hand or face gestures) can then be classified in
real-time using Hidden Markov Model (HMM) methods, importantly
including the new Coupled HMM methods that we have recently developed
(Brand, Oliver and Pentland 1997). Typical classification accuracies
are near 100\%.},
}