Recognizing Human Actions in a Static Room

Authors:
Douglas Ayers;Mubarak Shah
Affiliations:
-;-
Venue:
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
Year:
1998

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Abstract

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