Title

Recognizing human actions in a static room

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.

Publication Date

1-1-1998

Publication Title

Proceedings - 4th IEEE Workshop on Applications of Computer Vision, WACV 1998

Volume

1998-October

Number of Pages

42-47

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ACV.1998.732856

Socpus ID

84874371539 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84874371539

This document is currently not available here.

Share

COinS