An indexing-based approach to pattern and video clip recognition

A column-based classifier as a method for pattern recognition and clustering built on the notion of inverse patterns is considered. This approach replaces the matching of unknown patterns to prototype patterns with the intersection operations for inverse images. These operations are much less comput...

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Bibliographic Details
Published in:Automation and remote control 2014-12, Vol.75 (12), p.2201-2211
Main Author: Mikhailov, A. M.
Format: Article
Language:English
Subjects:
Automation
CAE) and Design
Calculus of Variations and Optimal Control
Optimization
Clips
Computer-Aided Engineering (CAD
Control
Data Analysis
Intersections
Inverse
Matching
Mathematics
Mathematics and Statistics
Mechanical Engineering
Mechatronics
Pattern recognition
Recognition
Robotics
Searching
Systems Theory
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Description
Summary:A column-based classifier as a method for pattern recognition and clustering built on the notion of inverse patterns is considered. This approach replaces the matching of unknown patterns to prototype patterns with the intersection operations for inverse images. These operations are much less computationally intensive than comparison operations. A possible analogy with hashing is that the features of the pattern being recognized are used as addresses that play the role of hash function arguments that define the name of the pattern class without search operations like in hashing. As an example of a practical implementation of the proposed approach the recognition problem for dynamically changing patterns represented by video clips is solved.
ISSN:0005-1179
1608-3032
DOI:10.1134/S0005117914120091