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Hierarchical and Efficient Learning for Person Re-Identification
[article]
2020
arXiv
pre-print
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Recent works in the person re-identification task mainly focus on the model accuracy while ignore factors related to the efficiency, e.g. model size and latency, which are critical for practical application ...
In this paper, we propose a novel Hierarchical and Efficient Network (HENet) that learns hierarchical global, partial, and recovery features ensemble under the supervision of multiple loss combinations ...
Introduction The person re-identification aims at retrieving corresponding images of a given person among the gallery person database, which has vast promising applications such as video surveillance and ...
arXiv:2005.08812v1
fatcat:56vbyo6kvjem3bzzwdwux2ysnm
Boosted Metric Learning for Efficient Identity-Based Face Retrieval
2015
Procedings of the British Machine Vision Conference 2015
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This is a limitation as for most of the verification task only training pairs are available (e.g. for person re-identification on the Viper dataset only pairs of same/different persons are provided for ...
Moreover, we propose a method for building hierarchical face representations for efficient identity face retrieval task. ...
This is a limitation as for most of the verification task only training pairs are available (e.g. for person re-identification on the Viper dataset only pairs of same/different persons are provided for ...
doi:10.5244/c.29.139
dblp:conf/bmvc/NegrelLJ15
fatcat:bnmwvmtoz5glrbm552wbcluu7a
HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2101.02568v1 fatcat:do4o35ewyrbrlpzwqhdiscigd4
Person Re-Identification (Re-ID) is of great importance to the many video surveillance systems. ...
Learning discriminative features for Re-ID remains a challenge due to the large variations in the image space, e.g., continuously changing human poses, illuminations and point of views. ...
We thus show that HAVANA is cost-efficient.
Conclusion We present HAVANA, an extensible, light-weight hierarchical and variationnormalized autoencoder for the Person Re-ID task. ...
arXiv:2101.02568v2
fatcat:ku3nlq3gozgc3izoea6rb2efxa
A Study on Person Re-Identification System using Enhanced RNN
확장된 RNN을 활용한 사람재인식 시스템에 관한 연구
2017
The Journal of The Institute of Internet Broadcasting and Communication
확장된 RNN을 활용한 사람재인식 시스템에 관한 연구
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In this paper, we proposed an enhanced recurrent neural network with three-tier hierarchical network for person re-identification. ...
The person Re-identification is the most challenging part of computer vision due to the significant changes in human pose and background clutter with occlusions. ...
In our work we use enhanced recurrent neural
network with three-tier hierarchical network for
person re-identification. ...
doi:10.7236/jiibc.2017.17.2.15
fatcat:cb2ko5xqvnhohb7jar52wclcmi
Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification
[article]
2018
arXiv
pre-print
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Moreover, we adopt a deeply learned appearance representation, which is trained on large-scale person re-identification datasets, to improve the identification ability of our tracker. ...
In this paper, we propose to handle unreliable detection by collecting candidates from outputs of both detection and tracking. ...
Second, we present a hierarchical data association strategy, which utilizes spatial information and deeply learned person re-identification (ReID) features. ...
arXiv:1809.04427v1
fatcat:q3k477ukj5fhteh22sglgbxuh4
Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification
[article]
2019
arXiv
pre-print
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Video-based person re-identification (Re-ID) aims at matching video sequences of pedestrians across non-overlapping cameras. ...
(ii) We further introduce a Spatially and Temporally Efficient Non-local Video Attention Network (STE-NVAN) to reduce the computation complexity by exploring spatial and temporal redundancy presented in ...
and Compal Electronics. ...
arXiv:1908.01683v1
fatcat:2uclup3w75hlzdni3srilhd3om
Multi-object Tracking with a Hierarchical Single-branch Network
[article]
2021
arXiv
pre-print
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Recent Multiple Object Tracking (MOT) methods have gradually attempted to integrate object detection and instance re-identification (Re-ID) into a united network to form a one-stage solution. ...
Specifically, the proposed single-branch network utilizes an improved Hierarchical Online In-stance Matching (iHOIM) loss to explicitly model the inter-relationship between object detection and Re-ID. ...
Instead, our proposed hierarchical structure explicitly formulates the relationship between detection and Re-ID, which is simple and efficient. One-stage methods without Re-ID. Bergmann et al. ...
arXiv:2101.01984v1
fatcat:qshqdjnyi5gr5ikedqaynj3oe4
Dynamic Prototype Mask for Occluded Person Re-Identification
[article]
2022
arXiv
pre-print
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Extensive experimental evaluations conducted on occluded and holistic person re-identification benchmarks demonstrate the superior performance of the DPM over the state-of-the-art methods. ...
Although person re-identification has achieved an impressive improvement in recent years, the common occlusion case caused by different obstacles is still an unsettled issue in real application scenarios ...
[46] integrate discriminative and generative learning in a single unified network for person re-identification. ...
arXiv:2207.09046v1
fatcat:jkug754tfrgnrjzpzcxefczzya
Mobile person re-identification with a lightweight trident CNN
2020
Science China Information Sciences
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Dear editor, Person re-identification (re-ID) aims to recognize or associate a person and time at non-overlapping physical locations after the person had been previously observed visually elsewhere. ...
The performance of re-ID has recently been significantly enhanced through deep learning algorithms and they have now dominated the re-ID applications [2] . ...
The responsibility for scientific accuracy and content remains entirely with the authors. ...
doi:10.1007/s11432-019-2782-3
fatcat:rf5jamrbyzcf7oggio7lu3q7ji
Deep Learning based Person Re-identification
[article]
2020
arXiv
pre-print
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Automated person re-identification in a multi-camera surveillance setup is very important for effective tracking and monitoring crowd movement. ...
In this paper, we propose an efficient hierarchical re-identification approach in which color histogram based comparison is first employed to find the closest matches in the gallery set, and next deep ...
The authors also express their sincere gratitude to the Head of the Computer Science and Engineering Department and Director of IIT (BHU), Varanasi for their support. ...
arXiv:2005.03293v1
fatcat:73r3wb37u5e4bawkyauz6ykchq
Gaussian process decentralized data fusion meets transfer learning in large-scale distributed cooperative perception
2019
Autonomous Robots
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Hierarchical Discriminative Learning for Visible Thermal Person Re-Identification Mang Ye, Xiangyuan Lan, Jiawei Li, Pong c Yuen* Hierarchical LSTM for Sign Language Translation Dan Guo*, wengang zhou ...
*, Yicong Zhou Discriminative Semi-coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification Kai Li*, Zhengming Ding, Sheng Li, Yun Fu Disjunctive Program Synthesis: a Robust Approach ...
doi:10.1007/s10514-018-09826-z
fatcat:67yqhwmgozccxni56rxmuapjgm
Hierarchical Discriminative Learning for Visible Thermal Person Re-Identification
2018
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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To this end, this paper investigates a cross-modal re-identification problem, namely visible-thermal person re-identification (VT-REID). ...
Person re-identification is widely studied in visible spectrum, where all the person images are captured by visible cameras. ...
In this paper, we name this cross-modal person re-identification problem as Visible-Thermal person Re-identification (VT-REID). ...
doi:10.1609/aaai.v32i1.12293
fatcat:3f3g2lovdjfrvh6mg6szwxfsoe
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks
[article]
2021
arXiv
pre-print
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This paper describes a low-power technique for the object re-identification (reID) problem: matching a query image against a gallery of previously seen images. ...
We propose a novel hierarchical DNN architecture that uses attribute labels in the training dataset to perform efficient object reID. ...
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the sponsors. ...
arXiv:2106.10588v1
fatcat:4bqw75vymja27eh4yl4lovxr4y
Hierarchical Feature Aggregation from Body Parts for Misalignment Robust Person Re-Identification
2019
Applied Sciences
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In this work, we focus on the misalignment problem in person re-identification. Human body parts commonly contain discriminative local representations relevant with identity recognition. ...
By optimizing the global and local features jointly, the DJL network further enhances the discriminative capability of the learned hybrid feature. ...
Related Works
Deep Learning for Person Re-ID Early methods solve the person re-ID problem mainly from two aspects, feature extraction and metric learning. ...
doi:10.3390/app9112255
fatcat:m6h2263qandbtobhltog4gvwaq
Hierarchical Cross Network for Person Re-identification
[article]
2017
arXiv
pre-print
Preserved Fulltext
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Person re-identification (person re-ID) aims at matching target person(s) grabbed from different and non-overlapping camera views. ...
In this paper, we propose a new network architecture called Hierarchical Cross Network (HCN) to perform person re-ID. ...
Person re-ID using deep-learning-based In contrast to the use of hand-crafted features for person re-ID, deep learning-based approaches adopt a completely different mechanism to handle the person re-ID ...
arXiv:1712.06820v1
fatcat:j66pxagptza4hlvztijulmsrja
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