Add to ORKGIn this paper, we propose a joint dataset for person re-identification task that includes the existing public datasets CUHK02, CUHK03, Market, Duke, LPW and our collected PolReID. We investigate the training dataset size and composition effect on the re-identification accuracy. We carried out a number of experiments with different size of dataset to solve re-identification task. The results of experiments are presented
Re-Identification of person aims at retrieval of person across multiple non overlapping camera. Ther...
In this thesis work, a person re-identification tool is presented. The person re-identification prob...
To solve the problem of inadequate feature extraction by the model due to factors such as occlusion ...
In this paper, we propose a joint dataset for person re-identification task that includes the existi...
In this paper, we propose a joint dataset for person re-identification task that includes the existi...
The paper analyses the problem of person re-identification accuracy in distributed video surveillanc...
International audiencePerson re-identification is one of the indispensable elements for visual surve...
International audiencePerson re-identification is one of the indispensable elements for visual surve...
Most person re-identification (re-ID) approaches are based on supervised learning, which requires in...
A deep four-stream convolutional neural network (CNN) is proposed for person re-identification (re-I...
© 2017 ACM. In this article, we revisit two popular convolutional neural networks in person re-ident...
Recognizing different visual signatures of people across non-overlapping cameras is still an open pr...
Some person re-identification(Re-ID) algorithms based on deep learning utilizes a baseline as basis ...
Abstract. Re-identification of individuals across camera networks with limited or no overlapping fie...
Re-Identification of person aims at retrieval of person across multiple non overlapping camera. Ther...
Re-Identification of person aims at retrieval of person across multiple non overlapping camera. Ther...
In this thesis work, a person re-identification tool is presented. The person re-identification prob...
To solve the problem of inadequate feature extraction by the model due to factors such as occlusion ...
In this paper, we propose a joint dataset for person re-identification task that includes the existi...
In this paper, we propose a joint dataset for person re-identification task that includes the existi...
The paper analyses the problem of person re-identification accuracy in distributed video surveillanc...
International audiencePerson re-identification is one of the indispensable elements for visual surve...
International audiencePerson re-identification is one of the indispensable elements for visual surve...
Most person re-identification (re-ID) approaches are based on supervised learning, which requires in...
A deep four-stream convolutional neural network (CNN) is proposed for person re-identification (re-I...
© 2017 ACM. In this article, we revisit two popular convolutional neural networks in person re-ident...
Recognizing different visual signatures of people across non-overlapping cameras is still an open pr...
Some person re-identification(Re-ID) algorithms based on deep learning utilizes a baseline as basis ...
Abstract. Re-identification of individuals across camera networks with limited or no overlapping fie...
Re-Identification of person aims at retrieval of person across multiple non overlapping camera. Ther...
Re-Identification of person aims at retrieval of person across multiple non overlapping camera. Ther...
In this thesis work, a person re-identification tool is presented. The person re-identification prob...
To solve the problem of inadequate feature extraction by the model due to factors such as occlusion ...