Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/55203
Type: Conference paper
Title: Height measurement as a session-based biometric for people matching across disjoint camera views
Author: Madden, C.
Picardi, M.
Citation: Proceedings of Image and Vision Computing New Zealand (INCNZ '05), 2005: pp.1-5
Publisher: University of Waikato
Publisher Place: Dunedin, NZ
Issue Date: 2005
ISBN: 0473105233
Conference Name: INCNZ (2005 : Ontago, Dunedin)
Statement of
Responsibility: 
C. Madden and M. Piccardi
Abstract: A surveillance session can be defined as the period between an individual’s entrance into a surveillance system, and their exit. Utilising this framework enables personal features, such as clothing and height estimates, to become invariant for the duration of the surveillance session. These can then be used as session-based biometrics for matching an individual uniquely as they move throughout the surveillance system, which may include significantly disjoint cameras. By utilising a hierarchy of biometrics to match individuals one can improve the speed of the overall matching. This eliminates unlikely matches quickly by using biometrics that are fast to calculate first. This paper proposes height estimation as an example of such a session-based biometric that would be used earlier in the hierarchy. It demonstrates how statistical height analysis can be quickly calculated as one of the session-based biometric components used to match the tracks of the same individual through image sequences taken by two disjoint camera views in the same surveillance session.
Keywords: video surveillance
disjoint camera views
height detection
session-based biometric
Description (link): http://www.cs.otago.ac.nz/ivcnz05/
Appears in Collections:Aurora harvest
Computer Science publications

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


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