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Huang, Thomas S. Han, Xu 2015-09-25T20:09:34Z 2015-09-25T20:09:34Z 10000-01-01 2008 2008 In summary, an abnormality detection system, which involves in human detection, human tracking, and activity classification, is discussed in the dissertation. The current system can only work under familiar environments. Future work will aim at a general abnormality detection system for video surveillance. Made available in DSpace on 2015-09-25T20:09:34Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3337784.pdf: 2176563 bytes, checksum: a62b261b00504c6041a516df2ed7d709 (MD5) Previous issue date: 2008 Embargo set by: Seth Robbins for item 82377 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 116 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008. http://hdl.handle.net/2142/81095 (MiAaPQ)AAI3337784 eng Engineering, Electronics and Electrical Watching Humans and Detecting Their Abnormalities text Electrical and Computer Engineering Electrical and Computer Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.