In 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
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...
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...
Person re-identification is an important computer vision task. It can be used in the real-world appl...
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...
University of Technology Sydney. Faculty of Engineering and Information Technology.Recent years witn...
In this thesis work, a person re-identification tool is presented. The person re-identification prob...
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...
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...
Person re-identification is an important computer vision task. It can be used in the real-world appl...
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...
University of Technology Sydney. Faculty of Engineering and Information Technology.Recent years witn...
In this thesis work, a person re-identification tool is presented. The person re-identification prob...
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...