Monitoring human behavior from video taken in an office environment

    Authors

    D. Ayers;M. Shah

    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

    WOS:000171756500003

    ISSN

    0262-8856

    Share

    COinS