Title

Consistent Labeling Of Tracked Objects In Multiple Cameras With Overlapping Fields Of View

Keywords

Camera handoff; Multiperspective video; Multiple cameras; Sensor fusion; Surveillance; Tracking

Abstract

In this paper, we address the issue of tracking moving objects in an environment covered by multiple uncalibrated cameras with overlapping fields of view, typical of most surveillance setups. In such a scenario, it is essential to establish correspondence between tracks of the same object, seen in different cameras, to recover complete information about the object. We call this the problem of consistent labeling of objects when seen in multiple cameras. We employ a novel approach of finding the limits of field of view (FOV) of each camera as visible in the other cameras. We show that, if the FOV lines are known, it is possible to disambiguate between multiple possibilities for correspondence. We present a method to automatically recover these lines by observing motion in the environment. Furthermore, once these lines are initialized, the homography between the views can also be recovered. We present results on indoor and outdoor sequences containing persons and vehicles.

Publication Date

10-1-2003

Publication Title

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volume

25

Issue

10

Number of Pages

1355-1360

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/TPAMI.2003.1233912

Socpus ID

0142039756 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0142039756

This document is currently not available here.

Share

COinS