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dc.creatorCheng, Victor
dc.date.accessioned2012-06-07T22:58:46Z
dc.date.available2012-06-07T22:58:46Z
dc.date.created2000
dc.date.issued2000
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-2000-THESIS-C46
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en
dc.descriptionIncludes bibliographical references (leaves 49-51).en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractAs an application of smart cameras, this thesis presents an algorithm and its real-time implementation for detecting and tracking multiple people moving in a surveillance scene. The algorithm is devised to work for low resolution image frames and any camera angle. First an adaptive background subtraction module is used to obtain potential moving target areas. Second a human body detection module is activated to locate the heads. Third a multi-target tracking module is deployed to resolve ambiguities associated with crosspaths and merged targets. The algorithm is implemented on the Texas Instruments TMS320C6201 fixed-point DSP processor for real-time processing of video signals. This real-time capability allows field deployment for the purpose of collecting surveillance data such as the number of people and their crossing frequency in a certain area.en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subjectelectrical engineering.en
dc.subjectMajor electrical engineering.en
dc.titleA smart camera application: DSP-based people detection and trackingen
dc.typeThesisen
thesis.degree.disciplineelectrical engineeringen
thesis.degree.nameM.S.en
thesis.degree.levelMastersen
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen


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