Title
Monitoring human behavior from video taken in an office environment
Abbreviated Journal Title
Image Vis. Comput.
Keywords
video; action recognition; key frames; context; REAL-TIME TRACKING; RECOGNITION; Computer Science, Artificial Intelligence; Computer Science, Software; Engineering; Computer Science, Theory & Methods; Engineering, Electrical; & Electronic; Optics
Abstract
In this paper, we describe a system which automatically recognizes human actions from video sequences taken of a room. 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. In our system, action recognition is modeled by a state machine, which consists of 'states' and 'transitions' between states. The transitions from different states can be made based on a position of a person, scene change detection, or an object being tracked. In addition to generating textual description of recognized actions, the system is able to generate a set of key frames from video sequences, which is essentially content-based video compression. The system has been tested on several video sequences and has performed well. A representative set of results is presented in this paper. The ideas presented in this system are applicable to automated security. (C) 2001 Elsevier Science B.V. All rights reserved.
Journal Title
Image and Vision Computing
Volume
19
Issue/Number
12
Publication Date
1-1-2001
Document Type
Article
Language
English
First Page
833
Last Page
846
WOS Identifier
ISSN
0262-8856
Recommended Citation
"Monitoring human behavior from video taken in an office environment" (2001). Faculty Bibliography 2000s. 2914.
https://stars.library.ucf.edu/facultybib2000/2914