Visual surveillance system based on spatio-temporal model of moving objects in industrial workroom environments

Cina Motamed; Alain Schmitt

doi:10.1117/12.50322

1 November 1991 Visual surveillance system based on spatio-temporal model of moving objects in industrial workroom environments

Cina Motamed, Alain Schmitt

Author Affiliations +

Proceedings Volume 1606, Visual Communications and Image Processing '91: Image Processing; (1991) https://doi.org/10.1117/12.50322
Event: Visual Communications, '91, 1991, Boston, MA, United States

Abstract

Development of 'intelligent' safety systems using computer vision is discussed. Robots usually carry out the same movements at each work cycle. In this situation we can modelize at each sequence the robots' position. The spatio-temporal model of the robotic scene's behavior obtained by learning accelerates the comprehension of the observed image. The synchronized model is compared with the real scene at each sequence. The prediction of future movements of moving objects obtained with our model facilitates the 'region of interest' generation in the studied scene and, in the same way, helps decisions of the safety device. The adaptation of the surveillance task to the changes of illumination reduces false alarms.

Citation Download Citation

Cina Motamed and Alain Schmitt "Visual surveillance system based on spatio-temporal model of moving objects in industrial workroom environments", Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); https://doi.org/10.1117/12.50322

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available