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Context-Aware Hypergraph Modeling for Re-identification and Summarization

Santhoshkumar Sunderrajan, B. S. Manjunath
2016 IEEE transactions on multimedia  
Also, the proposed algorithm is compared with the state of the art person re-identification algorithms on the VIPeR dataset [1].  ...  We consider the problem of person re-identification and tracking, and propose a novel clothing context-aware color extraction method that is robust to such changes.  ...  The proposed color drift aware person re-identification algorithm and the spatial-temporal topology information are used to build relationship between tracklets for the hypergraph model.  ... 
doi:10.1109/tmm.2015.2496139 fatcat:vpnool2wfzdgvdhppf53jagx2y

A Fast Non-Overlapping Multi-Camera People Re-Identification Algorithm and Tracking Based on Visual Channel Model

Chi-Chia SUN, Ming-Hwa SHEU, Jui-Yang CHI, Yan-Kai HUANG
2019 IEICE transactions on information and systems  
In this paper, a nonoverlapping multi-camera and people re-identification algorithm is proposed. It applies inflated major color features for re-identification to reduce computation time.  ...  The inflated major color features can dramatically improve efficiency while retaining high accuracy of object re-identification.  ...  Because the computation overhead of our proposed fast person re-identification algorithm based on visual channel model is light, a single-core Corext ARM A9 processor can easily handle the re-identification  ... 
doi:10.1587/transinf.2018edp7348 fatcat:slwv57jmazf2rai2wwdeco4doi

Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints [chapter]

Shayan Modiri Assari, Haroon Idrees, Mubarak Shah
2016 Lecture Notes in Computer Science  
We optimize using a greedy local neighborhood search algorithm to restrict the search space of hypotheses.  ...  Re-identification in crowded scenes is a challenging problem due to large number of people and frequent occlusions, coupled with changes in their appearance due to different properties and exposure of  ...  This material is based upon work supported in part by, the U.S. Army Research Laboratory, the U.S. Army Research Office under contract/grant number W911NF-14-1-0294.  ... 
doi:10.1007/978-3-319-46475-6_8 fatcat:axcxl4wssvb47p4ltdtf2jx7ie

Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras [article]

Yeong-Jun Cho, Su-A Kim, Jae-Han Park, Kyuewang Lee, Kuk-Jin Yoon
2017 arXiv   pre-print
Person re-identification is the task of recognizing or identifying a person across multiple views in multi-camera networks.  ...  Experimental results using our person re-identification and public datasets show that the proposed methods are promising for both person re-identification and camera topology inference tasks.  ...  Random Forest-based Person Re-identification Most of the previous studies mainly focused on enhancing the re-identification performance.  ... 
arXiv:1710.00983v1 fatcat:fhdccw66rzhbtiwm2bwp2ws6uy

Histogram of the node strength and histogram of the edge weight: two new features for RGB-D person re-identification

Zeynab Imani, Hadi Soltanizadeh
2018 Science China Information Sciences  
Person re-identification is a classical task for any multi-camera surveillance system. Most of the existing researches on re-identification are based on features extracted from RGB images.  ...  Performing re-identification based on only these features is difficult because different subjects often wear clothes with similar colors.  ...  For a more survey on person re-identification, refer to [4, 23] .  ... 
doi:10.1007/s11432-016-9086-8 fatcat:du7spxtetrgqrhhlvhg2hxsoza

Person Re-Identification by Semantic Region Representation and Topology Constraint

2018 IEEE transactions on circuits and systems for video technology (Print)  
Person re-identification is a popular research topic which aims at matching the specific person in a multi-camera network automatically.  ...  In this paper, we propose a novel person re-identification method, which consists of a reliable representation called Semantic Region Representation (SRR), and an effective metric learning with Mapping  ...  In this paper, we propose a person re-identification method based on semantic region representation (SRR) and Mapping Space Topology Constraint (MSTC).  ... 
doi:10.1109/tcsvt.2018.2866260 fatcat:xax4f32cvbbgjk5oggpu4d6l6q

Distance-based Camera Network Topology Inference for Person Re-identification [article]

Yeong-Jun Cho, Kuk-Jin Yoon
2017 arXiv   pre-print
In this paper, we propose a novel distance-based camera network topology inference method for efficient person re-identification.  ...  To validate the proposed method, we tested the proposed method using an open person re-identification dataset and compared to state-of-the-art methods.  ...  It employed the random forest algorithm [2] to perform accurate person re-identification.  ... 
arXiv:1712.00158v1 fatcat:e7u42esth5ejhkd3lf3zueqczi

Person Re-Identification by Low-Dimensional Features and Metric Learning

Xingyuan Chen, Huahu Xu, Yang Li, Minjie Bian
2021 Future Internet  
Person re-identification (Re-ID) has attracted attention due to its wide range of applications.  ...  Therefore, we hope to use the advantages of both to design a model with low computational resource consumption and excellent performance to solve the task of person re-identification.  ...  • Based on the prior knowledge of humans, we designed a color feature with spatial information to solve the problem of person re-identification.  ... 
doi:10.3390/fi13110289 fatcat:u6bfeypilvbvtpkoojqfyqc7zq

MCMC Supervision for People Re-identification in Nonoverlapping Cameras

Boris Meden, Frédéric Lerasle, Patrick Sayd
2012 Procedings of the British Machine Vision Conference 2012  
We present a pedestrian tracking system that uses re-identification to monitor nonoverlapping cameras.  ...  The tracking results obtained on a large ground-truthed dataset demonstrate the effectiveness of the approach.  ...  This paper is among the first ones to propose a tracking dedicated appearance-based method for person re-identification embedded in the tracking framework to monitor NOFOV camera networks.  ... 
doi:10.5244/c.26.66 dblp:conf/bmvc/MedenLS12 fatcat:2bpaeryq7vhohkkltvmvorjm7a

Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints [article]

Shayan Modiri Assari, Haroon Idrees, Mubarak Shah
2016 arXiv   pre-print
This paper addresses the problem of human re-identification across non-overlapping cameras in crowds.Re-identification in crowded scenes is a challenging problem due to large number of people and frequent  ...  to existing re-identification methods.  ...  Acknowledgment: This material is based upon work supported in part by, the U.S. Army Research Laboratory, the U.S. Army Research Office under contract/grant number W911NF-14-1-0294.  ... 
arXiv:1612.02155v1 fatcat:vbbj755xqvcetek3w3eu6y4ofu

A Comprehensive Overview of Person Re-Identification Approaches

Hongbo Wang, Haomin Du, Yue Zhao, Jiming Yan
2020 IEEE Access  
This paper provides a comprehensive overview of person re-identification approaches to assist researchers in quickly understand this field with preference as well as to provide a more structured framework  ...  This classification is then organized based on different technologies, and on this basis, the pros and cons of each technology are analyzed.  ...  be applied on a large scale and put higher requirements on the person re-identification algorithm.  ... 
doi:10.1109/access.2020.2978344 fatcat:amocokxx25btbdeswuqxasox4u

Person re-identification via efficient inference in fully connected CRF [article]

Jiuqing Wan, Menglin Xing
2015 arXiv   pre-print
In this paper, we address the problem of person re-identification problem, i.e., retrieving instances from gallery which are generated by the same person as the given probe image.  ...  A label variable is associated with each node to indicate whether the corresponding image is from target person.  ...  One of them is focusing on designing suitable feature representation for person re-identification.  ... 
arXiv:1506.06905v1 fatcat:jlbmfnrvlje4tlwfzpiv7uz5t4

People Re-identification in Non-overlapping Field-of-views using Cumulative Brightness Transform Function and Body Segments in Different Color Spaces

2015 International Journal of Engineering  
In the second step, re-identification of the people is carried out to track them in the whole area under surveillance.  ...  The aim of this paper is to propose a novel algorithm to identify people in a network of cameras with disjoints views.  ...  People re-identification has a significant effect on tracking systems.  ... 
doi:10.5829/idosi.ije.2015.28.12c.03 fatcat:sx6lzpwvmnf2lediszclktzthq

Space-time Histograms And Their Application To Person Re-identification In TV Shows

Rémi Auguste, Jean Martinet, Pierre Tirilly
2015 Proceedings of the 5th ACM on International Conference on Multimedia Retrieval - ICMR '15  
We propose a new descriptor to re-identify persons featured in videos, that is to say, to spot all occurrences of persons throughout a video.  ...  Experimental results show that our approach significantly improves the precision of the re-identification process thanks to the use of the temporal dimension.  ...  PERSON RE-IDENTIFICATION The proposed similarity measure between two space-time histograms can be used on video-based persontracks to re-identify persons.  ... 
doi:10.1145/2671188.2749332 dblp:conf/mir/AugusteMT15 fatcat:c5dixxjorvfolij6ko7cmf7poa

Learning articulated appearance models for tracking humans: A spectral graph matching approach

Nicolas Thome, Djamel Merad, Serge Miguet
2008 Signal processing. Image communication  
In this paper, we propose an original method to achieve this goal, based on the construction of a 2D human appearance model.  ...  The general framework, which is a region-based tracking approach, is applicable to any type of object.  ...  They manage to obtain good results of tracking multiple persons even in the case of occlusions by introducing an appearance model based on a combination of color histogram and Gaussian mixtures.  ... 
doi:10.1016/j.image.2008.09.003 fatcat:7plyxv5tmra2nkfulh3gzrndhu
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