Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/71384
Title: People correspondence in multiple-camera setup
Authors: Daniel, N.
Ranganath, S. 
Ghosh, D.
Issue Date: 2004
Source: Daniel, N.,Ranganath, S.,Ghosh, D. (2004). People correspondence in multiple-camera setup. IEEE Region 10 Annual International Conference, Proceedings/TENCON A : A451-A454. ScholarBank@NUS Repository.
Abstract: To track people successfully in multiple cameras, one needs to establish correspondence between objects captured in each camera. In this paper, a framework for tracking human motions from sequences of color images in a fixed uncalibrated multi-camera setup is presented. We propose a novel scheme based on artificial positioning data (APD) to find the relationship between individuals in each camera scene by determining the valid positions of people. Thus, the system is independent of the fields of view (FOVs) and yet able to identify each individual consistently throughout the scenes. The proposed approach is fast and computationally efficient. © 2004 IEEE.
Source Title: IEEE Region 10 Annual International Conference, Proceedings/TENCON
URI: http://scholarbank.nus.edu.sg/handle/10635/71384
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

25
checked on Jan 19, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.