Object Recognition Based On Dempster-Shafer Reasoning

M. H. Hassan

doi:10.1117/12.960256

27 March 1989 Object Recognition Based On Dempster-Shafer Reasoning

M. H. Hassan

Proceedings Volume 1002, Intelligent Robots and Computer Vision VII; (1989) https://doi.org/10.1117/12.960256
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States

Abstract

This paper presents algorithms that identify objects in simple and complex images. The scene may contain objects that may touch or overlap giving rise to partial occlusion, objects in noisy environments, and objects from different domain giving potential to a general-purpose multi-domain object recognition. The algorithms are based on the idea of aggregating the total evidence for each object in the image utilizing Dempster-Shafer reasoning. The outline of the proposed approach consists of three processes: prepro-cessing, feature extraction, and understanding. As a step of the understanding process, the evidences related to each object in the image with corresponding models from the image domain are evaluated based on Dempster-Shafer theory of evidence. For this purpose, mass of evidence functions are derived and implemented. The algorithms are either bottom-down or bottom-up control. The later control makes the approach attractive in applications where the time is an important consideration such as robot vision, part inspection, and military target recognition. Experimental results are presented for simple and complex images.

Citation Download Citation

M. H. Hassan "Object Recognition Based On Dempster-Shafer Reasoning", Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); https://doi.org/10.1117/12.960256

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
15 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Detection and tracking algorithms

Robot vision

Image processing

Machine vision

Computer vision technology

Image segmentation

Object recognition

Show All Keywords

Keywords/Phrases

Search In:

Publication Years