Results 71 to 80 of about 6,095,709 (227)

A Lightweight Efficient Person Re-Identification Method Based on Multi-Attribute Feature Generation

open access: yesApplied Sciences, 2022
Person re-identification (re-ID) technology has attracted extensive interests in critical applications of daily lives, such as autonomous surveillance systems and intelligent control.
Mingfu Xiong   +6 more
doaj   +1 more source

Feature-Level Camera Style Transfer for Person Re-Identification

open access: yesApplied Sciences, 2022
The person re-identification (re-ID) problem has attracted growing interest in the computer vision community. Most public re-ID datasets are captured by multiple non-overlapping cameras, and the same person may appear dissimilar in different camera views
Yang Liu   +4 more
doaj   +1 more source

Occluded Person Re-Identification With Pose Estimation Correction and Feature Reconstruction

open access: yesIEEE Access, 2023
In the real-world surveillance system application, the accuracy of person re-identification (Re-ID) still suffers from occlusion. Occluded Re-ID aims to retrieve occluded person images from multiple cameras that do not overlap.
Zhigang Liu   +3 more
doaj   +1 more source

Identifying First-person Camera Wearers in Third-person Videos

open access: yes, 2017
We consider scenarios in which we wish to perform joint scene understanding, object tracking, activity recognition, and other tasks in environments in which multiple people are wearing body-worn cameras while a third-person static camera also captures ...
Crandall, David J.   +6 more
core   +1 more source

Socially Aware Motion Planning with Deep Reinforcement Learning

open access: yes, 2018
For robotic vehicles to navigate safely and efficiently in pedestrian-rich environments, it is important to model subtle human behaviors and navigation rules (e.g., passing on the right).
Chen, Yu Fan   +3 more
core   +1 more source

Vision Transformer with hierarchical structure and windows shifting for person re-identification.

open access: yesPLoS ONE, 2023
Extracting rich feature representations is a key challenge in person re-identification (Re-ID) tasks. However, traditional Convolutional Neural Networks (CNN) based methods could ignore a part of information when processing local regions of person images,
Yinghua Zhang, Wei Hou
doaj   +1 more source

Neighboring-Part Dependency Mining and Feature Fusion Network for Person Re-Identification

open access: yesIEEE Access, 2023
Person re-identification (Re-ID) is a computer vision technique used to determine the presence of a specific pedestrian target in an image or video sequence. It is an important branch of image retrieval.
Chuan Zhu   +3 more
doaj   +1 more source

Discriminative multi-scale adjacent feature for person re-identification

open access: yesComplex & Intelligent Systems
Recently, discriminative and robust identification information has played an increasingly critical role in Person Re-identification (Re-ID). It is a fact that the existing part-based methods demonstrate strong performance in the extraction of fine ...
Mengzan Qi   +4 more
doaj   +1 more source

Feature semantic alignment and information supplement for Text-based person search

open access: yesFrontiers in Physics, 2023
The goal of person text-image matching is to retrieve images of specific pedestrians using natural language. Although a lot of research results have been achieved in persona text-image matching, existing methods still face two challenges.
Hang Zhou   +3 more
doaj   +1 more source

Features of Person

open access: yes, 2018
A proposal that person features do not have inherent content but are used to navigate a “person space” at the heart of every pronominal expression. This book offers a significant reconceptualization of the person system in natural language.
Ackema, P, Neeleman, A
openaire   +2 more sources

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