Abstract/Details

Linguistic summarization of human activity


2010 2010

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Abstract (summary)

The thesis advanced herein is that linguistic summarization is essential for the reliable succinct modeling and inference of human activity. It is also asserted that the inherent and unavoidable uncertainty is linguistic and fuzzy. Advantages of the proposed work include the generation of human interpretable confidence values, improved rejection of unknown activity, information reduction, complexity management, and the recognition of adverse events. Specifically, a computer vision-based hierarchical soft-computing linguistic summarization framework is proposed. First, images are summarized through the identification of a human and a three-dimensional object called voxel person is constructed. Next, approximate reasoning is used to linguistically summarize the state of the human at each moment, i.e. image, using features extracted from voxel person. Subsequently, temporal linguistic summarizations are produced from the state membership time series. State summaries are used to infer activity, which are also linguistically summarized and subsequently used in a hierarchical similar fashion to recognize additional specific types of higher level activity. A system comprised of two levels is described for the goal of elderly activity recognition. The system parameters are designed under the supervision of nurses. The results are compared to probabilistic graphical models for three data sets consisting of student and nurse trained and supervised stunt actor activities.

Indexing (details)


Subject
Electrical engineering;
Computer science
Classification
0544: Electrical engineering
0984: Computer science
Identifier / keyword
Applied sciences; Computer vision; Fuzzy logic; Human activity; Linguistic summarization; Silhouette segmentation; Voxel
Title
Linguistic summarization of human activity
Author
Anderson, Derek
Number of pages
215
Publication year
2010
Degree date
2010
School code
0133
Source
DAI-B 73/04, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9781267055767
Advisor
Keller, James M.
University/institution
University of Missouri - Columbia
University location
United States -- Missouri
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
3488829
ProQuest document ID
912311936
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/912311936
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