A characterization of visual feature recognition

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Publication Type technical report
School or College College of Engineering
Department School of Computing
Program Advanced Research Projects Agency
Creator Mathew, Binu K.; Davis, Al
Other Author Evans, Robert
Title A characterization of visual feature recognition
Date 2003-09-03
Description Natural human interfaces are a key to realizing the dream of ubiquitous computing. This implies that embedded systems must be capable of sophisticated perception tasks. This paper analyzes the nature of a visual feature recognition workload. Visual feature recognition is a key component of a number of important applications, e.g. gesture based interfaces, lip tracking to augment speech recognition, smart cameras, automated surveillance systems, robotic vision, etc. Given the power sensitive nature of the embedded space and the natural conflict between low-power and high-performance implementations, a precise understanding of these algorithms is an important step developing efficient visual feature recognition applications for the embedded space. In particular, this work analyzes the performance characteristics of flesh toning, face detection and face recognition codes based on well known algorithms. We also show how the problem can be decomposed into a pipeline of filters that have efficient implementations as stream processors.
Type Text
Publisher University of Utah
Subject Visual feature recognition; Human interfaces
Subject LCSH Human-machine systems; User interfaces (Computer systems)
Language eng
Bibliographic Citation Mathew, B. K., Davis, A., & Evans, R. (2003). A characterization of visual feature recognition. UUCS-03-014.
Series University of Utah Computer Science Technical Report
Relation is Part of ARPANET
Rights Management ©University of Utah
Format Medium application/pdf
Format Extent 420,269 bytes
Source University of Utah School of Computing
ARK ark:/87278/s6k07nc7
Setname ir_uspace
ID 702591
Reference URL https://collections.lib.utah.edu/ark:/87278/s6k07nc7