Object Spaces: Context Management for Human Activity Recognition

Show full item record

Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/3471

Title: Object Spaces: Context Management for Human Activity Recognition
Author: Moore, Darnell Janssen ; Essa, Irfan A. ; Hayes, M. H. (Monson H.)
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.
Type: Technical Report
URI: http://hdl.handle.net/1853/3471
Date: 1998
Relation: GVU Technical Report;GIT-GVU-98-26
Publisher: Georgia Institute of Technology
Subject: Computer vision
Action recognition
Gesture recognition
Interactive environments

All materials in SMARTech are protected under U.S. Copyright Law and all rights are reserved, unless otherwise specifically indicated on or in the materials.

Files in this item

Files Size Format View
98-26.pdf 239.1Kb PDF View/ Open

This item appears in the following Collection(s)

Show full item record