Results 91 to 100 of about 6,095,709 (227)

Joint Attentive Spatial-Temporal Feature Aggregation for Video-Based Person Re-Identification

IEEE Access, 2019
Video-based person re-identification (Re-ID) remains to be a promising but challenging computer vision task, suffering from a lack of discriminative features that better aggregate both the spatial and temporal information.
Lin Chen, Hua Yang, Zhiyong Gao
doaj   +1 more source

Cross-Domain Person Re-Identification Based on Feature Fusion Invariance

Applied Sciences
Cross-domain person re-identification is a technique for identifying the same individual across different cameras or environments that necessitates the overcoming of challenges posed by scene variations, which is a primary challenge in person re ...
Yushi Zhang, Heping Song, Jiawei Wei
doaj   +1 more source

Person Re-Identification Based on Multi-Parts of Local Feature Network

IEEE Access, 2019
Person re-identification has become increasing popular because of its widely application in computer vision. In this paper, we propose a novel, simple and efficient person re-id network called MPLFN.
Zimian Wei, Wenjing Yang, Wanrong Huang, Huadong Dai, Dongsheng Li   +4 more
doaj   +1 more source

Corrigendum: Multi-person feature fusion transfer learning-based convolutional neural network for SSVEP-based collaborative BCI. [PDF]

Front Neurosci, 2022
Li P, Su J, Belkacem AN, Cheng L, Chen C.   +4 more
europepmc   +1 more source

Improving Person Re-Identification via Feature Erasing-Driven Data Augmentation

Mathematics
Person re-identification (Re-ID) has attracted considerable attention in the field of computer vision, primarily due to its critical role in video surveillance and public security applications.
Shangdong Zhu, Huayan Zhang
doaj   +1 more source

BIOMETRIC FEATURES IN PERSON RECOGNITION SYSTEMS

Mokslas - Lietuvos ateitis, 2010
Lately a lot of research effort is devoted for recognition of a human being using his biometric characteristics. Biometric recognition systems are used in various applications, e. g., identification for state border crossing or firearm, which allows only enrolled persons to use it.
openaire   +3 more sources

Learning the Meta Feature Transformer for Unsupervised Person Re-Identification

Mathematics
Although unsupervised person re-identification (Re-ID) has drawn increasing research attention, it still faces the challenge of learning discriminative features in the absence of pairwise labels across disjoint camera views.
Qing Li, Chuan Yan, Xiaojiang Peng
doaj   +1 more source

Domain Adaptive Attention Model for Unsupervised Cross-Domain Person Re-Identification

, 2019
Person re-identification (Re-ID) across multiple datasets is a challenging yet important task due to the possibly large distinctions between different datasets and the lack of training samples in practical applications.
Feng, Songhe, Huang, Yangru, Jin, Yi, Lang, Congyan, Peng, Peixi, Xing, Junliang   +5 more
core  

Exploring borderline personality features in adolescents: which features best predict borderline personality disorder [PDF]

Journal of Psychiatric Research
Borderline personality disorder (BPD) is a severe mental disorder that can manifest and be treated during adolescence. Borderline Feature Scale for Children (BPFS-C) was developed with the intention to assess children and adolescents with suspected personality pathology.
Camilla Gjertsen Ramstad, Christine Graff, Sune Bo, Carla Sharp, Mie Sedoc Jørgensen, Emma Beck, Erik Simonsen, Ole Jakob Storebø   +7 more
openaire   +1 more source

Attention-enhanced multimodal feature fusion network for clothes-changing person re-identification

Complex & Intelligent Systems
Clothes-Changing Person Re-Identification is a challenging problem in computer vision, primarily due to the appearance variations caused by clothing changes across different camera views.
Yongkang Ding, Jiechen Li, Hao Wang, Ziang Liu, Anqi Wang   +4 more
doaj   +1 more source