Title

Monitoring Human Behavior From Video Taken In An Office Environment

Keywords

Action recognition; Context; Key frames; Video

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. © 2001 Elsevier Science B.V. All rights reserved.

Publication Date

10-1-2001

Publication Title

Image and Vision Computing

Volume

19

Issue

12

Number of Pages

833-846

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/S0262-8856(01)00047-6

Socpus ID

0011187970 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0011187970

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