Recognizing human actions in a static room

Author

Ayers, Douglas ; Shah, Mubarak

Author_Institution

Sch. of Comput. Sci., Univ. of Central Florida, Orlando, FL, USA

fYear

1998

fDate

19-21 Oct 1998

Firstpage

42

Lastpage

47

Abstract

In this paper, we describe a system which makes context-based decisions about the actions of people in a room. These actions include entering a room, using a computer terminal, opening a cabinet, picking up a phone, etc. Our system is able to recognize these actions by using prior knowledge about the layout of the room. The ideas presented in this system are applicable to automated security. The low-level Computer Vision techniques of tracking, skin detection, and scene change detection are used in our system to help perform action recognition. The output of this system is both a textual and a key frame description of the recognized actions

Keywords

computer vision; image recognition; security; surveillance; target tracking; Computer Vision; action recognition; actions of people; automated security; context-based decisions; human actions; scene change detection; skin detection; tracking; Animals; Application software; Color; Computer peripherals; Computer science; Computer vision; Humans; Image edge detection; Layout; Skin;

fLanguage

English

Publisher

ieee

Conference_Titel

Applications of Computer Vision, 1998. WACV '98. Proceedings., Fourth IEEE Workshop on

Conference_Location

Princeton, NJ

Print_ISBN

0-8186-8606-5

Type

conf

DOI

10.1109/ACV.1998.732856

Filename

732856