Results 111 to 120 of about 1,229,322 (315)
Joint Attention Mechanism for Person Re-Identification
IEEE Access, 2019 Although person re-identification (ReID) has drawn increasing research attention due to its potential to address the problem of analysis and processing of massive monitoring data, it is very challenging to learn discriminative information when the people
Shanshan Jiao +5 more
doaj +1 more source
An Human Perceptive Model for Person Re-identification
Proceedings of the 10th International Conference on Computer Vision Theory and Applications, 2015 Person re-identification has increasingly become an interesting task in the computer vision field, especially after the well known terroristic attacks on theWorld Trade Center in 2001. Even if video surveillance systems exist since the early 1950s, the third generation of such systems is a relatively modern topic and refers to systems formed by ...
Reno', Vito +3 more
openaire +5 more sources
Microbial exopolysaccharide production by polyextremophiles in the adaptation to multiple extremes
FEBS Letters, EarlyView.Polyextremophiles are microorganisms that endure multiple extreme conditions by various adaptation strategies that also include the production of exopolysaccharides (EPSs). This review provides an integrated perspective on EPS biosynthesis, function, and regulation in these organisms, emphasizing their critical role in survival and highlighting their ...
Tracey M Gloster, Ebru Toksoy Öner
wiley +1 more source
Deep video-based person re-identification (Deep Vid-ReID): comprehensive survey
EURASIP Journal on Advances in Signal ProcessingPerson re-identification (ReID) aims to find the person of interest across multiple non-overlapping cameras. It is considered an essential step for person tracking applications which is vital for surveillance.
Rana S. M. Saad +4 more
doaj +1 more source
Omnidirectional Feature Learning for Person Re-Identification
IEEE Access, 2019 Person re-identification (PReID) has received increasing attention due to it being an important role in intelligent surveillance. Many state-of-the-art PReID methods are part-based deep models.
Di Wu +7 more
doaj +1 more source
Person re-identification in multi-camera system by signature based on interest point descriptors collected on short video sequences [PDF]
, 2008 Omar Hamdoun +3 more
openalex +1 more source
FEBS Letters, EarlyView.Mutations in the C9orf72 gene represent the most common genetic cause of amyotrophic lateral sclerosis (ALS), a fatal neurodegenerative disease. Using patient‐derived neurons and C. elegans models, we find that the nucleoporin Nup107 is dysregulated in C9orf72‐associated ALS. Conversely, reducing Nup107 levels mitigates disease‐related changes.
Saygın Bilican +7 more
wiley +1 more source
Person Re-identification Using Spatial Covariance Regions of Human Body Parts [PDF]
, 2010 Sławomir Bąk +3 more
openalex +1 more source
FEBS Letters, EarlyView.Single‐cell RNA sequencing reveals an opposite role of SLPI in basal tumors based on metastatic spread, along with shared activation of specific regulons in cancer cells and mature luminal lactocytes, as well as downregulation of MALAT1 and NEAT1 in the latter.
Pietro Ancona +4 more
wiley +1 more source
IEEE AccessThis paper proposes an attribute-guided alignment model for person re-identification with feature distillation and enhancement. The proposed attribute-guided part-level distillation model learns spatial body-part information, enabling the alignment of ...
Rongnan Huang +3 more
doaj +1 more source