Monitoring human behavior in an office environment

Abstract

The goal of this work is for a computer to recognize the actions of people in an office environment. The system described in this thesis uses context to help recognize what actions people are performing. These actions include entering a room, using a computer terminal, opening a cabinet, picking up a phone, etc. Our system recognizes these actions by using prior knowledge about the layout of the room. The low-level Computer Vision techniques of tracking, skin detection, and scene change detection are used in our system to help perform action recognition. All three of these techniques use color images. The output of this system is both a textual and a key frame description of the recognized actions. The results of this work are promising.

Notes

This item is only available in print in the UCF Libraries. If this is your thesis or dissertation, you can help us make it available online for use by researchers around the world by downloading and filling out the Internet Distribution Consent Agreement. You may also contact the project coordinator Kerri Bottorff for more information.

Thesis Completion

1998

Semester

Spring

Advisor

Shah, Mubarak

Degree

Bachelor of Science (B.S.)

College

College of Arts and Sciences

Degree Program

Computer Science

Subjects

Arts and Sciences -- Dissertations, Academic;Dissertations, Academic -- Arts and Sciences

Format

Print

Identifier

DP0021509

Language

English

Access Status

Open Access

Length of Campus-only Access

None

Document Type

Honors in the Major Thesis

This document is currently not available here.

Share

COinS