A new view-invariant feature for cross-view gait recognition
| dc.contributor.author | Kusakunniran, Worapan | |
| dc.contributor.author | Wu, Qiang | |
| dc.contributor.author | Zhang, Jian | |
| dc.contributor.author | Ma, Yi | |
| dc.contributor.author | Li, Hongdong | |
| dc.date.accessioned | 2015-12-13T22:30:30Z | |
| dc.date.issued | 2013 | |
| dc.date.updated | 2016-02-24T09:24:10Z | |
| dc.description.abstract | Human gait is an important biometric feature which is able to identify a person remotely. However, change of view causes significant difficulties for recognizing gaits. This paper proposes a new framework to construct a new view-invariant feature for cros | |
| dc.identifier.issn | 1556-6021 | |
| dc.identifier.uri | http://hdl.handle.net/1885/74872 | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE Inc) | |
| dc.source | IEEE Transactions on Information Forensics and Security | |
| dc.subject | Keywords: Gait recognition; Human identification; Low-rank textures; Procrustes shape analysis; Sparse errors; View invariants; Biometrics; Textures; Gait analysis Gait recognition; gross sparse error; human identification; low-rank texture; procrustes shape analysis; view invariant | |
| dc.title | A new view-invariant feature for cross-view gait recognition | |
| dc.type | Journal article | |
| local.bibliographicCitation.issue | 10 | |
| local.bibliographicCitation.lastpage | 1653 | |
| local.bibliographicCitation.startpage | 1642 | |
| local.contributor.affiliation | Kusakunniran, Worapan, University of New South Wales | |
| local.contributor.affiliation | Wu, Qiang, University of Technology Sydney | |
| local.contributor.affiliation | Zhang, Jian, University of Technology Sydney | |
| local.contributor.affiliation | Ma, Yi, University of Illinois at Urbana-Champaign, | |
| local.contributor.affiliation | Li, Hongdong, College of Engineering and Computer Science, ANU | |
| local.contributor.authoruid | Li, Hongdong, u4056952 | |
| local.description.embargo | 2037-12-31 | |
| local.description.notes | Imported from ARIES | |
| local.identifier.absfor | 080100 - ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING | |
| local.identifier.absseo | 970108 - Expanding Knowledge in the Information and Computing Sciences | |
| local.identifier.ariespublication | f5625xPUB4350 | |
| local.identifier.citationvolume | 8 | |
| local.identifier.doi | 10.1109/TIFS.2013.2252342 | |
| local.identifier.scopusID | 2-s2.0-84884517583 | |
| local.identifier.thomsonID | 000324575700009 | |
| local.type.status | Published Version |
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