On The Representation Of Moving Objects In Real-Time Computer Vision Systems

Volker Graefe

doi:10.1117/12.936651

9 January 1984 On The Representation Of Moving Objects In Real-Time Computer Vision Systems

Volker Graefe

Proceedings Volume 0432, Applications of Digital Image Processing VI; (1984) https://doi.org/10.1117/12.936651
Event: 27th Annual Technical Symposium, 1983, San Diego, United States

Abstract

When a computer vision system is used to interpret real-world scenes containing moving objects, certain characteristics of the objects and of the computer vision system itself, that would be irrelevant in the context of sequences of static images, must be represented. Among them are motion-induced blur and distortion of the image. When the scene has to be interpreted in real time, the representation of objects should, in the interest of efficiency, be decomposed in such a way that at each stage of processing a partial representation is available that includes only those aspects of each object that are relevant at that particular stage. Such partial representations may, at the lowest level, relate to the visual appearance of an object, at an intermediate level to coordinates of its parts, and at the highest levels to its dynamic behavior and to error statistics.

Citation Download Citation

Volker Graefe "On The Representation Of Moving Objects In Real-Time Computer Vision Systems", Proc. SPIE 0432, Applications of Digital Image Processing VI, (9 January 1984); https://doi.org/10.1117/12.936651

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