Knowledge Driven Recognition of the Human Body
Name
AI_WP_118.pdf
Description
Main article
Size
7.07 MB
Format
Adobe PDF
Checksum (MD5)
4c84e476255aeeb1e9b4ce47267845e3
Author(s)
Speckert, Glen
Date Issued
January 1976
Publisher
MIT Artificial Intelligence Laboratory
Series/Report no.
MIT Artificial Intelligence Laboratory Working Papers, WP-118;
Abstract
This paper shows how a good internal model of the subject viewed aids in the visual recognition and following of key parts. The role of knowledge driven top-down tools and methods is shown by recognizing a series of human figures drawn from Eadward Muybridge's collection of 1887. Knowledge of the subject's structure and actions are used to find the head, shoulder, elbow, hip, knees, and ankles of the subject.
Description
This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for the laboratory's artificial intelligence research is provided in part by the Advanced Research Projects Agency of the Department of Defense under Office of Naval Research contract N00014-75-C-0643.
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