Accession Number:

ADA170701

Title:

A Rule-Based Pattern Matching System for the Recognition of Three-Dimensional Line Drawn Objects: A Foundation for Video Tracking,

Descriptive Note:

Corporate Author:

CLARKSON UNIV POTSDAM NY DEPT OF ELECTRICAL AND COMPUTER ENGINEERING

Personal Author(s):

Report Date:

1986-01-01

Pagination or Media Count:

83.0

Abstract:

Object recognition is an important subtask in image understanding, moving object tracking, and scene analysis. When identifying an object in a scene, it is essential that the same object is recognized as being so from different view angles. Also, in cases where the object is occluded or the image is noisy, the recognition is expected to function under the existence of uncertainty. In this report, a system for object recognition, with emphasis on view angle independence, is studied. The system uses simple line drawn objects as the input image. An algorithm to extract important information from the image is developed. A rule-based pattern matching scheme is used to recognize the object in the image. In each decision made, a confidence factor is associated to indicate the systems certainty in making this decision. This study shows that the rule-based pattern matching system is a useful and flexible framework for object recognition and scene analysis. Author

Subject Categories:

  • Theoretical Mathematics
  • Direction Finding

Distribution Statement:

APPROVED FOR PUBLIC RELEASE