In this chapter we describe the problem of camera network topology mapping, which is a critical precursor to person re-identification in large camera networks. After surveying previous approaches to this problem we describe “exclusion”, a practical, robust method for deriving a topology estimate that scales to thousands of cameras. We then consider re-identification within such networks by modelling and matching target appearance. By combining a simple appearance model with the topology estimate generated by exclusion, person re-identification can be accomplished within far larger scale networks than would be possible using appearance matching alone.Anthony Dick, Anton van den Hengel and Henry Detmol
Abstract. Most existing person re-identification methods focus on find-ing similarities between pers...
In this paper we describe a semi-supervised approach to person re-identification that combines discr...
In this paper we describe a semi-supervised approach to person re-identification that combines discr...
The goal of this paper is to find connections between cameras in a large surveillance network. As a ...
International audienceThe person re-identification problem is a well known retrieval task that requi...
Tracking individuals within a wide area camera network is a tough problem. Obtaining information acr...
This paper proposes a scalable and robust algorithm to find connections between cameras in a large s...
The person re-identification problem is a well known retrieval task that requires finding a person o...
Tracking individuals within a wide area camera network is a tough problem. Obtaining information acr...
Person re-identification through a camera network deals with finding a correct link between consecut...
Person re-identification through a camera network deals with finding a correct link between consecut...
Person re-identification through a camera network deals with finding a correct link between consecut...
Person re-identification through a camera network deals with finding a correct link between consecut...
Person re-identification is an open and challenging problem in computer vision. Existing approaches ...
Abstract. Most existing person re-identification methods focus on find-ing similarities between pers...
Abstract. Most existing person re-identification methods focus on find-ing similarities between pers...
In this paper we describe a semi-supervised approach to person re-identification that combines discr...
In this paper we describe a semi-supervised approach to person re-identification that combines discr...
The goal of this paper is to find connections between cameras in a large surveillance network. As a ...
International audienceThe person re-identification problem is a well known retrieval task that requi...
Tracking individuals within a wide area camera network is a tough problem. Obtaining information acr...
This paper proposes a scalable and robust algorithm to find connections between cameras in a large s...
The person re-identification problem is a well known retrieval task that requires finding a person o...
Tracking individuals within a wide area camera network is a tough problem. Obtaining information acr...
Person re-identification through a camera network deals with finding a correct link between consecut...
Person re-identification through a camera network deals with finding a correct link between consecut...
Person re-identification through a camera network deals with finding a correct link between consecut...
Person re-identification through a camera network deals with finding a correct link between consecut...
Person re-identification is an open and challenging problem in computer vision. Existing approaches ...
Abstract. Most existing person re-identification methods focus on find-ing similarities between pers...
Abstract. Most existing person re-identification methods focus on find-ing similarities between pers...
In this paper we describe a semi-supervised approach to person re-identification that combines discr...
In this paper we describe a semi-supervised approach to person re-identification that combines discr...