Spelling suggestions: "subject:"0ptical pattern recognition"" "subject:"aoptical pattern recognition""
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Concept-based video search by semantic and context reasoning /Wei, Xiaoyong. January 2009 (has links) (PDF)
Thesis (Ph.D.)--City University of Hong Kong, 2009. / "Submitted to Department of Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy." Includes bibliographical references (leaves 122-133)
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Large scale semantic concept detection, fusion, and selection for domain adaptive video search /Jiang, Yugang. January 2009 (has links) (PDF)
Thesis (Ph.D.)--City University of Hong Kong, 2009. / "Submitted to Department of Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy." Includes bibliographical references (leaves 145-161)
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Semantic representation and recognition of human activitiesRyoo, Michael Sahngwon, 1983- 31 August 2012 (has links)
This dissertation describes a methodology for automated recognition of complex human activities. The dissertation presents a general framework which reliably recognizes various types of high-level human activities including human actions, human-human interactions, human-object interactions, and group activities. Our approach is a description-based approach, which enables a user to encode the structure of a high-level human activity as a formal representation. Recognition of human activities is done by semantically matching constructed representations with actual observations. The methodology uses a context-free grammar (CFG) based representation scheme as a formal syntax for representing composite activities. Our CFG-based representation enables us to define complex human activities based on simpler activities or movements. We have constructed a hierarchical framework which automatically matches activity representations with input observations. In the low-level of the system, image sequences are processed to extract poses and gestures. Based on the recognition of gestures, the high-level of the system hierarchically recognizes complex occurring human activities by searching for gestures that satisfies the temporal, spatial, and logical structure described in the representation. The concept of hallucinations and a probabilistic semantic-level recognition algorithm is introduced to cope with imperfect lower-layers. As a result, the system recognizes human activities including 'fighting', 'assault', 'a person leaving a suitcase', and 'a group of thieves stealing an object from owners', which are high-level activities that previous systems had difficulties. The experimental results show that our system reliably recognizes sequences of various types of complex human activities with a high recognition rate. / text
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A Hybrid analytical/intelligent methodology for sensor fusionKim, Intaek 12 1900 (has links)
No description available.
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Automatic labeling, modeling and recognition for line-drawing interpretationChêng, Tsê January 1994 (has links)
Thesis (Ph. D.)--University of Hawaii at Manoa, 1994. / Includes bibliographical references (leaves 181-191). / Microfiche. / xvi, 191 leaves, bound ill. 29 cm
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Handwritten signature verification using complementary statistical models /McCabe, Alan. January 2003 (has links)
Thesis (Ph.D.) - James Cook University, 2003. / Typescript (photocopy) Bibliography: leaves 181-196.
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Semantic representation and recognition of human activitiesRyoo, Michael Sahngwon, January 1900 (has links)
Thesis (Ph. D.)--University of Texas at Austin, 2008. / Vita. Includes bibliographical references.
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Pattern recognition using Chebychev polynomial discriminant functionsWaid, Rex Adney, January 1968 (has links)
Thesis (Ph. D.)--University of Wisconsin--Madison, 1968. / Typescript. Vita. Description based on print version record. Includes bibliographical references.
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Sparse and redundant image representations using adaptive dictionaries in digital image denoisingSano, Teresa. January 2009 (has links)
Thesis (M.S.)--Duquesne University, 2009. / Title from document title page. Abstract included in electronic submission form. Includes bibliographical references (p. 44-45) and index.
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Estimating the pen trajectories of static handwritten scripts using hidden Markov models /Nel, Emli-Mari. January 2005 (has links)
Thesis (PhD)--University of Stellenbosch, 2005. / Bibliography. Also available via the Internet.
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