3-D monocular visual tracking of human limbs in unconstrained environments

dc.contributor.advisorZelek, John S.
dc.contributor.authorBullock, David
dc.date.accessioned2020-08-24T15:47:50Z
dc.date.available2020-08-24T15:47:50Z
dc.date.copyright2002
dc.degree.departmentSchool of Engineeringen_US
dc.degree.grantorUniversity of Guelphen_US
dc.degree.nameMaster of Scienceen_US
dc.description.abstractThis thesis is an investigation of 3-D monocular visual tracking of human limbs in unconstrained environments. The 3-D visual tracking of human limbs is fundamental to a wide array of computer vision applications including gesture recognition, interactive entertainment, biomechanical analysis, vehicle driver monitoring, and electronic surveillance. The problem of limb tracking is complicated by issues of occlusion, depth ambiguities, rotational ambiguities, and high levels of noise caused by loose fitting clothing. Many conventional visual limb tracking systems have attempted to solve the problem by introducing multiple cameras (i.e. stereo vision) to reduce occlusion and depth ambiguities. As well, most tracking systems have simplified the problem by using constrained environments, such as an assumption of a static background, forcing the user to wear tight fitting clothing against a contrasting background, or relaxing the real-time operating conditions. In this thesis we attempt to solve the 3-D limb tracking problem using only monocular imagery (a single 2-D video source) in largely unconstrained environments. (Abstract shortened by UMI.)en_US
dc.identifier.urihttps://hdl.handle.net/10214/20145
dc.language.isoen
dc.publisherUniversity of Guelphen_US
dc.rights.licenseAll items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.
dc.subjectHuman limbsen_US
dc.subject3-D monocular visual trackingen_US
dc.subjectUnconstraineden_US
dc.subjectComputeren_US
dc.subjectOcclusionen_US
dc.title3-D monocular visual tracking of human limbs in unconstrained environmentsen_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Bullock_David_MSc.pdf
Size:
7.36 MB
Format:
Adobe Portable Document Format