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Gait recognition with shifted energy image and structural feature extraction
This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.In this paper, we present a novel and efficient gait recognition system. The proposed system uses two novel gait representations, i.e., the shifted energy image and the gait structural profile, which have increased robustness to some classes of structural variations. Furthermore, we introduce a novel method for the simulation of walking conditions and the generation of artificial subjects that are used for the application of linear discriminant analysis. In the decision stage, the two representations are fused. Thorough experimental evaluation, conducted using one traditional and two new databases, demonstrates the advantages of the proposed system in comparison with current state-of-the-art systems
An analysis of the McKee phonetic inventory for grade three.
Thesis (Ed.M.)--Boston Universit
Early type galaxies have been the predominant morphological class for massive galaxies since only z~1
Present-day massive galaxies are composed mostly of early-type objects. It is
unknown whether this was also the case at higher redshifts. In a hierarchical
assembling scenario the morphological content of the massive population is
expected to change with time from disk-like objects in the early Universe to
spheroid-like galaxies at present. In this paper we have probed this
theoretical expectation by compiling a large sample of massive
(M_{stellar}>10^{11} h_{70}^{-2} M_{Sun}$) galaxies in the redshift interval 0
< z < 3. Our sample of 1082 objects comprises 207 local galaxies selected from
SDSS plus 875 objects observed with the HST belonging to the POWIR/DEEP2 and
GNS surveys. 639 of our objects have spectroscopic redshifts. Our morphological
classification is performed as close as possible to the optical restframe
according to the photometric bands available in our observations both
quantitatively (using the Sersic index as a morphological proxy) and
qualitative (by visual inspection). Using both techniques we find an enormous
change on the dominant morphological class with cosmic time. The fraction of
early-type galaxies among the massive galaxy population has changed from
~20-30% at z~3 to ~70% at z=0. Early type galaxies have been the predominant
morphological class for massive galaxies since only z~1.Comment: 24 pages, 11 figures, 7 tables, MNRAS accepted, acknowledgement adde
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