GVU Technical Report Number:
GIT-GVU-98-26
Title:
Object Spaces: Context Management for Human Activity Recognition
Authors:
Darnell Moore
Irfan A. Essa
Monson Hayes
Abstract:
In this paper, we propose a vision-based method for developing computer
awareness of human activities. We present an object-oriented approach
called ObjectSpaces that encapsulates context into scene objects. Objects
provide clues about which human motions to anticipate, making them
powerful tools for discriminating actions and activities. Our hierarchical
process leverages both low- and high-level representations of motion to
label human interaction with objects in the surroundings. The Hidden
Markov Model and Bayesian relations are used to characterize and summarize
activity.
Keywords:
Computer vision, action recognition, gesture recognition, interactive
environments
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