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large scale person re-identification

by Svebor Karaman, Andrew D, Alberto Del Bimbo, Svebor Karaman
"... cog.2014.06.003 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is publis ..."
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it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. www.elsevier.com/locate/pr Leveraging local neighborhood topology for large scale person re-identification

T.: The re-identification challenge

by Shaogang Gong, Marco Cristani, Chen Change Loy, Timothy M. Hospedales, Shaogang Gong, Marco Cristani, Chen Change Loy, Timothy M. Hospedales, Shaogang Gong, Marco Cristani, Chen Change Loy, Timothy M. Hospedales - In: Person Re-Identification , 2014
"... Abstract For making sense of the vast quantity of visual data generated by the rapid expansion of large scale distributed multi-camera systems, automated per-son re-identification is essential. However, it poses a significant challenge to com-puter vision systems. Fundamentally, person re-identifica ..."
Abstract - Cited by 6 (5 self) - Add to MetaCart
Abstract For making sense of the vast quantity of visual data generated by the rapid expansion of large scale distributed multi-camera systems, automated per-son re-identification is essential. However, it poses a significant challenge to com-puter vision systems. Fundamentally, person re-identification

Re-identification by relative distance comparison

by Wei-shi Zheng, Shaogang Gong, Tao Xiang - In PAMI , 2013
"... Abstract—Matching people across nonoverlapping camera views at different locations and different times, known as person reidentification, is both a hard and important problem for associating behavior of people observed in a large distributed space over a prolonged period of time. Person reidentifica ..."
Abstract - Cited by 55 (8 self) - Add to MetaCart
Abstract—Matching people across nonoverlapping camera views at different locations and different times, known as person reidentification, is both a hard and important problem for associating behavior of people observed in a large distributed space over a prolonged period of time. Person

Person re-identification by pose priors

by Sławomir Bąk, Filipe Martins, Francois Brémond
"... The person re-identification problem is a well known retrieval task that requires finding a person of interest in a network of cameras. In a real-world scenario, state of the art algorithms are likely to fail due to serious perspective and pose changes as well as variations in lighting conditions ac ..."
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The person re-identification problem is a well known retrieval task that requires finding a person of interest in a network of cameras. In a real-world scenario, state of the art algorithms are likely to fail due to serious perspective and pose changes as well as variations in lighting conditions

Semi-supervised multifeature learning for person re-identification

by Dario Figueira , Loris Bazzani , Hà Quang , Minh , Isr -Instituto Superior , Portugal Técnico Lisboa , Marco Cristani , Alexandre Bernardino , Vittorio Murino - In IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS , 2013
"... Abstract Person re-identification is probably the open challenge for low-level video surveillance in the presence of a camera network with non-overlapped fields of view. A large number of direct approaches has emerged in the last five years, often proposing novel visual features specifically design ..."
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Abstract Person re-identification is probably the open challenge for low-level video surveillance in the presence of a camera network with non-overlapped fields of view. A large number of direct approaches has emerged in the last five years, often proposing novel visual features specifically

Leveraging local neighborhood topology for large scale person re-identification

by Svebor Karaman, Andrew D. Bagdanov, Alberto Del Bimbo
"... In this paper we describe a semi-supervised approach to person re-identification that combines discriminative models of person identity with a Conditional Random Field (CRF) to exploit the local manifold approximation induced by the nearest neighbor graph in feature space. The linear discriminative ..."
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In this paper we describe a semi-supervised approach to person re-identification that combines discriminative models of person identity with a Conditional Random Field (CRF) to exploit the local manifold approximation induced by the nearest neighbor graph in feature space. The linear discriminative

Interactive person re-identification in TV series

by Mika Fischer, Hazım Kemal, Ekenel Rainer Stiefelhagen
"... In this paper, we present a system for person reidentification in TV series. In the context of video retrieval, person re-identification refers to the task where a user clicks on a person in a video frame and the system then finds other occurrences of the same person in the same or different videos. ..."
Abstract - Cited by 5 (3 self) - Add to MetaCart
In this paper, we present a system for person reidentification in TV series. In the context of video retrieval, person re-identification refers to the task where a user clicks on a person in a video frame and the system then finds other occurrences of the same person in the same or different videos

1Re-identification by Relative Distance Comparison

by Wei-shi Zheng, Shaogang Gong, Tao Xiang
"... Abstract — Matching people across non-overlapping camera views at different locations and different time, known as person re-identification, is both a hard and important problem for associating behaviour of people observed in a large distributed space over a prolonged period of time. Person re-ident ..."
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Abstract — Matching people across non-overlapping camera views at different locations and different time, known as person re-identification, is both a hard and important problem for associating behaviour of people observed in a large distributed space over a prolonged period of time. Person re-identification

View-Adaptive Metric Learning for Multi-view Person Re-identification

by Canxiang Yan, Shiguang Shan, Dan Wang, Hao Li, Xilin Chen , 2014
"... Person re-identification is a challenging problem due to drastic variations in viewpoint, illumination and pose. Most previous works on metric learning learn a global distance metric to handle those variations. Different from them, we propose a view-adaptive metric learning (VAML) method, which ado ..."
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Person re-identification is a challenging problem due to drastic variations in viewpoint, illumination and pose. Most previous works on metric learning learn a global distance metric to handle those variations. Different from them, we propose a view-adaptive metric learning (VAML) method, which

Unsupervised Learning of Generative Topic Saliency For Person Re-identification

by Hanxiao Wang, Shaogang Gong, Tao Xiang , 2014
"... Existing approaches to person re-identification (re-id) are dominated by supervised learning based methods which focus on learning optimal similarity distance metrics. However, supervised learning based models require a large number of manually labelled pairs of person images across every pair of ca ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
Existing approaches to person re-identification (re-id) are dominated by supervised learning based methods which focus on learning optimal similarity distance metrics. However, supervised learning based models require a large number of manually labelled pairs of person images across every pair
Results 1 - 10 of 240