Title

Camera Handoff: Tracking In Multiple Uncalibrated Stationary Cameras

Abstract

Multiple cameras are needed to completely cover an environment for monitoring activity. To track people successfully in multiple perspective imagery, one needs to establish a correspondence between objects captured by multiple cameras. We present a system for tracking people using multiple uncalibrated cameras. The system is able to discover spatial relationships between the cameras' fields of view and to use this information to correspond between different perspective views of the same person. We employ the novel approach of finding the limits of the field of view of a camera that are visible by the other cameras. This helps us to disambiguate between possible candidates of correspondence. The proposed approach is very fast compared to camera calibration-based approaches.

Publication Date

1-1-2000

Publication Title

Proceedings - Workshop on Human Motion, HUMO 2000

Number of Pages

113-118

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/HUMO.2000.897380

Socpus ID

54549117202 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/54549117202

This document is currently not available here.

Share

COinS