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oai:www.ideals.illinois.edu:2142/80894 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Huang, Thomas S. Lin, John 2015-09-25T20:08:41Z 2015-09-25T20:08:41Z 10000-01-01 2004 2004 This dissertation presents novel techniques to effectively and efficiently track articulate hand motion in a video sequence. Since tracking articulate hand motion is equivalent to a search in a high-dimensional space, an analysis of the feasible configuration space is given, and semiparametric and nonparametric representations are proposed to model the motion constraint. For each of the representations, a corresponding efficient tracking algorithm is proposed. Experiments have shown the effectiveness of these approaches. To fully automate the tracking system, this dissertation also presents an algorithm for automatic initialization which can be done in real time. Based on this result, several vision-based gesture interfaces are built. Made available in DSpace on 2015-09-25T20:08:41Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3160919.pdf: 6603719 bytes, checksum: 459b37d1ddd0cf913918bc07089b1c67 (MD5) Previous issue date: 2004 Embargo set by: Seth Robbins for item 82176 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 104 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004. http://hdl.handle.net/2142/80894 (MiAaPQ)AAI3160919 eng Engineering, Electronics and Electrical Visual Hand Tracking and Gesture Analysis text Electrical Engineering Electrical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.