Results 21 to 30 of about 6,029,270 (241)

Deep-Facial Feature-Based Person Re-identification for Authentication in Surveillance Applications [PDF]

open access: yesITM Web of Conferences, 2021
Nowadays, a large network of cameras is predominantly used in public places which provide enormous video data. These data are monitored manually and may be utilized only when the need arises to ascertain the facts.
Borse Pranjal   +3 more
doaj   +1 more source

Multi Scale-Adaptive Super-Resolution Person Re-Identification Using GAN

open access: yesIEEE Access, 2020
In real-world surveillance systems, the person images captured by the camera network consists of various low-resolution (LR) images. It creates a resolution mismatching problem when compared against high-resolution images of a targeted person.
Muhammad Adil   +4 more
doaj   +1 more source

Cross‐modality person re‐identification using hybrid mutual learning

open access: yesIET Computer Vision, 2023
Cross‐modality person re‐identification (Re‐ID) aims to retrieve a query identity from red, green, blue (RGB) images or infrared (IR) images. Many approaches have been proposed to reduce the distribution gap between RGB modality and IR modality. However,
Zhong Zhang   +5 more
doaj   +1 more source

Stochastic attentions and context learning for person re-identification [PDF]

open access: yesPeerJ Computer Science, 2021
The discriminative parts of people’s appearance play a significant role in their re-identification across non overlapping camera views. However, just focusing on the discriminative or attention regions without catering the contextual information does not
Nazia Perwaiz   +2 more
doaj   +2 more sources

Exploiting prunability for person re-identification

open access: yesEURASIP Journal on Image and Video Processing, 2021
Recent years have witnessed a substantial increase in the deep learning (DL) architectures proposed for visual recognition tasks like person re-identification, where individuals must be recognized over multiple distributed cameras.
Hugo Masson   +6 more
doaj   +1 more source

A survey of person re-identification based on deep learning

open access: yes工程科学学报, 2022
Person re-identification is an important part of multi-target tracking across cameras; its aim is to identify the same person across different cameras. Given a query image, the purpose of person re-identification is to find the best match for the query ...
Qing LI   +4 more
doaj   +1 more source

Denseformer: A dense transformer framework for person re‐identification

open access: yesIET Computer Vision, 2023
Transformer has shown its effectiveness and advantage in many computer vision tasks, for example, image classification and object re‐identification (ReID).
Haoyan Ma   +3 more
doaj   +1 more source

Bike-Person Re-Identification: A Benchmark and a Comprehensive Evaluation

open access: yesIEEE Access, 2018
Existing person re-identification (re-id) datasets only consist of pedestrian images, which are far more behind what the real surveillance system holds.
Yuan Yuan, Jian'an Zhang, Qi Wang
doaj   +1 more source

Person Search via Deep Integrated Networks

open access: yesApplied Sciences, 2019
This study proposes an integrated deep network consisting of a detection and identification module for person search. Person search is a very challenging problem because of the large appearance variation caused by occlusion, background clutter, pose ...
Ju-Chin Chen   +3 more
doaj   +1 more source

Unifying Person and Vehicle Re-Identification

open access: yesIEEE Access, 2020
Person and vehicle re-identification (re-ID) are important challenges for the analysis of the burgeoning collection of urban surveillance videos. To efficiently evaluate such videos, which are populated with both vehicles and pedestrians, it would be ...
Daniel Organisciak   +4 more
doaj   +1 more source

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