Brain-computer interface: Advancement and challenges

MF Mridha, SC Das, MM Kabir, AA Lima, MR Islam… - Sensors, 2021 - mdpi.com
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …

A survey of human gait-based artificial intelligence applications

EJ Harris, IH Khoo, E Demircan - Frontiers in Robotics and AI, 2022 - frontiersin.org
We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …

Person re-identification: Past, present and future

L Zheng, Y Yang, AG Hauptmann - arXiv preprint arXiv:1610.02984, 2016 - arxiv.org
Person re-identification (re-ID) has become increasingly popular in the community due to its
application and research significance. It aims at spotting a person of interest in other …

Person re-identification by multi-channel parts-based cnn with improved triplet loss function

D Cheng, Y Gong, S Zhou, J Wang… - Proceedings of the …, 2016 - openaccess.thecvf.com
Person re-identification across cameras remains a very challenging problem, especially
when there are no overlapping fields of view between cameras. In this paper, we present a …

Hierarchical gaussian descriptor for person re-identification

T Matsukawa, T Okabe, E Suzuki… - Proceedings of the …, 2016 - openaccess.thecvf.com
Describing the color and textural information of a person image is one of the most crucial
aspects of person re-identification. In this paper, we present a novel descriptor based on a …

A survey of open-world person re-identification

Q Leng, M Ye, Q Tian - … on Circuits and Systems for Video …, 2019 - ieeexplore.ieee.org
Person re-identification (re-ID) has been a popular topic in computer vision and pattern
recognition communities for a decade. Several important milestones such as metric-based …

Scalable person re-identification on supervised smoothed manifold

S Bai, X Bai, Q Tian - … of the IEEE conference on computer …, 2017 - openaccess.thecvf.com
Most existing person re-identification algorithms either extract robust visual features or learn
discriminative metrics for person images. However, the underlying manifold which those …

Salient color names for person re-identification

Y Yang, J Yang, J Yan, S Liao, D Yi, SZ Li - … 6-12, 2014, Proceedings, Part I …, 2014 - Springer
Color naming, which relates colors with color names, can help people with a semantic
analysis of images in many computer vision applications. In this paper, we propose a novel …

Learning to rank in person re-identification with metric ensembles

S Paisitkriangkrai, C Shen… - Proceedings of the …, 2015 - openaccess.thecvf.com
We propose an effective structured learning based approach to the problem of person re-
identification which outperforms the current state-of-the-art on most benchmark data sets …

Person re-identification via recurrent feature aggregation

Y Yan, B Ni, Z Song, C Ma, Y Yan, X Yang - Computer Vision–ECCV 2016 …, 2016 - Springer
We address the person re-identification problem by effectively exploiting a globally
discriminative feature representation from a sequence of tracked human regions/patches …