Categorical organization and machine perception of oscillatory motion patterns
Name
47799403-MIT.pdf
Description
Full printable version
Size
11.84 MB
Format
Adobe PDF
Checksum (MD5)
0cafdf84723d6e45f41c1489013aa325
Author(s)
Davis, James William, 1968-
Advisor(s)
Aaron Bobick and Whitman Richards.
Date Issued
2000
Publisher
Massachusetts Institute of Technology
Abstract
Many animal behaviors consist of using special patterns of motion for communication, with certain types of movements appearing widely across animal species. Oscillatory motions in particular are quite prevalent, where many of these repetitive movements can be characterized by a simple sinusoidal model with very specific and limited parameter values. We develop a computational model of categorical perception of these motion patterns based on their inherent structural regularity. The model proposes the initial construction of a hierarchical ordering of the model parameters to partition them into sub-categorical specializations. This organization is then used to specify the types and layout of localized computations required for the corresponding visual recognition system. The goal here is to do away with ad hoc motion recognition methods of computer vision, and instead exploit the underlying structural description for a motion category as a motivating mechanism for recognition. We implement this framework and present an analysis of the approach with synthetic and real oscillatory motions, and demonstrate its applicability within an interactive artificial life environment. With this categorical foundation for the description and recognition of related motions, we gain insight into the basis and development of a machine vision system designed to recognize these patterns.
Description
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Architecture, 2000.
Includes bibliographical references (p. 126-132).
Subjects
Architecture.
MIT Department
Massachusetts Institute of Technology. Department of Architecture
Terms of Use
M.I.T. theses are protected by
copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
permission. See provided URL for inquiries about permission.
copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
permission. See provided URL for inquiries about permission.
Persistent DSpace Link
