Brain-computer interface: Advancement and challenges
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
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 …
focus on human gait studies and apply machine learning techniques. We identified six key …
Person re-identification: Past, present and future
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 …
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
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 …
when there are no overlapping fields of view between cameras. In this paper, we present a …
Hierarchical gaussian descriptor for person re-identification
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 …
aspects of person re-identification. In this paper, we present a novel descriptor based on a …
A survey of open-world person re-identification
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 …
recognition communities for a decade. Several important milestones such as metric-based …
Scalable person re-identification on supervised smoothed manifold
Most existing person re-identification algorithms either extract robust visual features or learn
discriminative metrics for person images. However, the underlying manifold which those …
discriminative metrics for person images. However, the underlying manifold which those …
Salient color names for person re-identification
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 …
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 …
identification which outperforms the current state-of-the-art on most benchmark data sets …
Person re-identification via recurrent feature aggregation
We address the person re-identification problem by effectively exploiting a globally
discriminative feature representation from a sequence of tracked human regions/patches …
discriminative feature representation from a sequence of tracked human regions/patches …