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Group Re-Identification with Multi-grained Matching and Integration [article]

Weiyao Lin, Yuxi Li, Hao Xiao, John See, Junni Zou, Hongkai Xiong, Jingdong Wang, Tao Mei
2019 arXiv   pre-print
To achieve robust group Re-ID,we first introduce multi-grained representations which can beextracted via the development of two separate schemes, i.e. onewith hand-crafted descriptors and another with  ...  The proposed representation seeks to characterize bothappearance and spatial relations of multi-grained objects, and isfurther equipped with importance weights which capture varia-tions in intra-group  ...  the group re-identification performance.  ... 
arXiv:1905.07108v1 fatcat:vmvrut4kbfhr3jmoupv2esdslm

ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification [article]

Peter Kulits and Jake Wall and Anka Bedetti and Michelle Henley and Sara Beery
2021 arXiv   pre-print
ElephantBook makes elephant re-identification usable by non-experts and scalable for use by multiple conservation NGOs.  ...  We have built and deployed a web-based platform and database for human-in-the-loop re-identification of elephants combining manual attribute labeling and state-of-the-art computer vision algorithms, known  ...  of the authors and do not necessarily reflect the views of these organizations.  ... 
arXiv:2106.15083v1 fatcat:ftevna3fdfcctk3hwtqv5yc5ia

Term Set Expansion based on Multi-Context Term Embeddings: an End-to-end Workflow [article]

Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat
2018 arXiv   pre-print
It enables users to easily select a seed set of terms, expand it, view the expanded set, validate it, re-expand the validated set and store it, thus simplifying the extraction of domain-specific fine-grained  ...  SetExpander has been used for solving real-life use cases including integration in an automated recruitment system and an issues and defects resolution system.  ...  One of them is an automated recruitment system that matches job descriptions with job-applicant resumes.  ... 
arXiv:1807.10104v1 fatcat:uytlxvbtkja4ndwmhlhvftxs4m

Multi-Level Fusion for Person Re-identification with Incomplete Marks

Zheng Wang, Ruimin Hu, Yi Yu, Chao Liang, Wenxin Huang
2015 Proceedings of the 23rd ACM international conference on Multimedia - MM '15  
This paper studies the problem of Person Re-identification with Incomplete Marks (PRIM), aiming at ranking the persons in the gallery according to both the videos and incomplete marks.  ...  This problem is solved by a multi-step fusion algorithm, which consists of three key steps: (i) The early fusing step exploits both visual features and marked attributes to predict a complete and precise  ...  We define the new problem as Person Re-identification with Incomplete Mark (PRIM).  ... 
doi:10.1145/2733373.2806400 dblp:conf/mm/WangHYLH15 fatcat:damvjl6dabbe3hgfbi6j35ukay

Research on Access Control in Cloud Storage System: From Single to Multi-Clouds

Zhijie Fan
2018 American Journal of Software Engineering and Applications  
The key technologies introduce Ciphertext-Policy Attribute-Based Encryption algorithm(CP-ABE), ontology based attributes mapping, algebra based policies integration, solutions for identification, access  ...  The paper mainly investigates key technologies of access control in cloud storage system, including intra cloud and among multi-clouds.  ...  with no need to re-identify.  ... 
doi:10.11648/j.ajsea.20180701.11 fatcat:inq3arpscndbbg45rhivqfv6am

Vehicle Re-Identification Based on the Authenticity of Orthographic Projection

Qiang Lu, Fengwei Quan, Mingkai Qiu, Xiying Li
2020 Zenodo  
Abstract— Vehicle re-identification is still a problem do not receive much attention in the multimedia and vision communities.  ...  After computing the similarity between the query vehicle and all candidate vehicles, we rank these similarities and take the vehicle with the maximum similarity as the best match.  ...  ACKNOWLEDGEMENTS This work is supported by Key-Area Research and Development Program of Guangdong Province, No.2020B090921003.  ... 
doi:10.5281/zenodo.4297136 fatcat:ifhvui2firdinf6zwk6da5h65y

Introduction to the Special Section on Contextual Object Analysis in Complex Scenes

Meng Wang, Xianglong Liu, Xun Yang, Liang Zheng
2020 IEEE transactions on circuits and systems for video technology (Print)  
His research interests include object matching and re-identification, deep learning, and data synthesis.  ...  Object Re-Identification This group includes five articles aiming at developing effective methods for person re-identification.  ... 
doi:10.1109/tcsvt.2020.3017118 fatcat:znxhng7ednfbdjxxyn3m23gorq

A Survey of Vehicle Re-identification Based on Deep Learning

Hongbo Wang, Jiaying Hou, Na Chen
2019 IEEE Access  
With the rapid development of deep learning, vehicle re-identification technologies have made significant progress in recent years.  ...  Vehicle re-identification is one of the core technologies of intelligent transportation systems, and it is crucial for the construction of smart cities.  ...  as a classification task for fine-grained vehicle identification, but it cannot be accurately matched.  ... 
doi:10.1109/access.2019.2956172 fatcat:gxzry6py4bhrjnb2qxqtu4r27u

Shoe-print image retrieval with multi-part weighted CNN

Zhanyu Ma, Yifeng Ding, Shaoguo Wen, Jiyang Xie, Yifeng Jin, Zhongwei Si, Haining Wang
2019 IEEE Access  
The experimental evaluations demonstrate that our proposed method significantly outperforms other finegrained cross-domain methods on SPID dataset and obtains comparative results with the state-of-the-art  ...  In this paper, we propose a novel multi-part weighted convolutional neural network (MP-CNN) for shoe-print image retrieval.  ...  In SPID we group the SoC impressions with same matches into one class and get 1843 classes in total.  ... 
doi:10.1109/access.2019.2914455 fatcat:ua7w2jylfvaz7oj33pxg4odb5a

Domain Priori Knowledge based Integrated Solution Design for Internet of Services [article]

Hanchuan Xu, Xiao Wang, Yuxin Wang, Nan Li, Zhiying Tu, Zhongjie Wang, Xiaofei Xu
2020 arXiv   pre-print
Since user requirements (URs) are usually coarse-grained and transboundary, IoS platforms have to integrate services from multiple domains to fulfill the requirements.  ...  Priori knowledge is classified into three types: requirement patterns (RPs), service patterns (SPs), and probabilistic matching matrix (PMM) between RPs and SPs.  ...  Firstly, we group similar services into multi-dimensional groups according to the multi-dimensional similarity measurement of function, input and output, user group, and provider, and calculate the conditional  ... 
arXiv:2009.02065v1 fatcat:kcfsipufvnfzto23536k7ik3ya

Person Re-Identification via Pyramid Multipart Features and Multi-Attention Framework

Randa Mohamed Bayoumi, Elsayed E. Hemayed, Mohammad Ehab Ragab, Magda B. Fayek
2022 Big Data and Cognitive Computing  
Video-based person re-identification has become quite attractive due to its importance in many vision surveillance problems.  ...  We integrate the most robust features in the global and multi-level views to build an effective convolution neural network (CNN) model.  ...  Our Approach Our model aims to explore pedestrians using the pyramid multi-part features with multi-attention (PMP-MA) for video re-identification.  ... 
doi:10.3390/bdcc6010020 fatcat:tgitv7wy4rdhzhci35evmwkvhu

Joint Discriminative and Generative Learning for Person Re-identification [article]

Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, Jan Kautz
2021 arXiv   pre-print
Person re-identification (re-id) remains challenging due to significant intra-class variations across different cameras.  ...  Our model involves a generative module that separately encodes each person into an appearance code and a structure code, and a discriminative module that shares the appearance encoder with the generative  ...  We first study the contributions of primary feature and fine-grained feature in Table 3 . We train ResNet50 with identification loss on each original training set as the baseline.  ... 
arXiv:1904.07223v3 fatcat:tcckye5gebfw7j2nxy4ml3bcu4

Crowd understanding and analysis

Qi Wang, Bo Liu, Jianzhe Lin
2021 IET Image Processing  
With the development of modern life, all kinds of social activities have become more frequent.  ...  This Special Issue aims to introduce the latest works in crowd understanding and analysis, and proposes new theory and approaches to solve the existing problems. The Special Issue  ...  "Multiple object tracking based on multi-task learning with strip attention" of Song et al. believes that it is difficult to strike a balance between accuracy and efficiency by embedding the re-identification  ... 
doi:10.1049/ipr2.12379 fatcat:shshhjjoxngotplvg7xzefpsne

Unsupervised Tracklet Person Re-Identification [article]

Minxian Li, Xiatian Zhu, Shaogang Gong
2019 arXiv   pre-print
Most existing person re-identification (re-id) methods rely on supervised model learning on per-camera-pair manually labelled pairwise training data.  ...  This is by jointly learning within-camera tracklet discrimination and cross-camera tracklet association in order to maximise the discovery of tracklet identity matching both within and across camera views  ...  Comparing (a) Fine-grained explicit instance-level cross-camera ID labelled image pairs for supervised person re-id model learning and (b) Coarse-grained latent group-level cross-camera tracklet (a multi-shot  ... 
arXiv:1903.00535v1 fatcat:b2y3min6ezhwrayhvtvo2pf27m

Discriminative Feature Representation with Spatio-temporal Cues for Vehicle Re-identification [article]

J. Tu, C. Chen, X. Huang, J. He, X. Guan
2020 arXiv   pre-print
Vehicle re-identification (re-ID) aims to discover and match the target vehicles from a gallery image set taken by different cameras on a wide range of road networks.  ...  Based on this multi-modal information, the proposed DFR-ST constructs an appearance model for a multi-grained visual representation by a two-stream architecture and a spatio-temporal metric to provide  ...  A similar topic is person re-identification (re-ID), but it is totally different from vehicle re-ID in terms of the facing challenges.  ... 
arXiv:2011.06852v1 fatcat:iqlq53dbxbb6je66a47nsvzgha
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