Results 11 to 20 of about 236,517 (308)

Ensemble Learning-Based Person Re-identification with Multiple Feature Representations

open access: yesComplexity, 2018
As an important application in video surveillance, person reidentification enables automatic tracking of a pedestrian through different disjointed camera views.
Yun Yang   +3 more
doaj   +2 more sources

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

open access: yesApplied 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   +2 more sources

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   +2 more sources

Person Re-identification Based on Feature Location and Fusion [PDF]

open access: yesJisuanji kexue, 2022
Pedestrian appearance attributes are important semantic information distinguishing pedestrian differences.Pedestrian attribute recognition plays a vital role in intelligent video surveillance,which can help us quickly screen and retrieve target ...
YANG Xiao-yu, YIN Kang-ning, HOU Shao-qi, DU Wen-yi, YIN Guang-qiang
doaj   +1 more source

Inception Convolution and Feature Fusion for Person Search

open access: yesSensors, 2023
With the rapid advancement of deep learning theory and hardware device computing capacity, computer vision tasks, such as object detection and instance segmentation, have entered a revolutionary phase in recent years.
Huan Ouyang, Jiexian Zeng, Lu Leng
doaj   +1 more source

Multiscale Reference-Aided Attentive Feature Aggregation for Person Re-Identification

open access: yesIEEE Access, 2021
In person re-identification (Re-ID), increasing the diversity of pedestrian features can improve recognition accuracy. In standard convolutional neural networks (CNNs), the receptive fields of neurons in each layer are designed to have the same size ...
Li Xu, Xiang Fu
doaj   +1 more source

Physiological Features of Aging Persons [PDF]

open access: yesArchives of Surgery, 2003
Between 1960 and 1994, the population of those 85 years and older in the United States grew 274%. 1 Similarly, the fastest-growing sector of surgical patients older than 65 years is those older than 85 years. 2 These figures are critical because elderly persons have the highest mortality in the adult surgical population (5.8%-6.2% in those >80 years ...
Oliver O, Aalami   +3 more
openaire   +2 more sources

Pose-guided feature alignment for occluded person re-identification [PDF]

open access: yes, 2021
© 2019 IEEE. Persons are often occluded by various obstacles in person retrieval scenarios. Previous person re-identification (re-id) methods, either overlook this issue or resolve it based on an extreme assumption. To alleviate the occlusion problem, we
DIng, Y, Wu, Y, Liu, P, Miao, J, Yang, Y
core   +1 more source

Multi-Level Joint Feature Learning for Person Re-Identification

open access: yesAlgorithms, 2020
In person re-identification, extracting image features is an important step when retrieving pedestrian images. Most of the current methods only extract global features or local features of pedestrian images.
Shaojun Wu, Ling Gao
doaj   +1 more source

Person Re-identification Model Combining Attention and Batch Feature Erasure [PDF]

open access: yesJisuanji gongcheng, 2022
Aiming to make more comprehensive use of pedestrian features, this study proposes a person re-identification model combining Attention and Batch Feature Erasure Network(ABFE-Net) to solve the problem of reduced recognition accuracy caused by the partial ...
HAO Axiang, JIA Guojun
doaj   +1 more source

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