Identifying humans using comparative descriptions
Reid, Daniel, Nixon, Mark and Stevenage, Sarah (2011) Identifying humans using comparative descriptions. At International Conference on Imaging for Crime Detection and Prevention , Kingston, UK, 03 - 04 Nov 2011.
Download
|
PDF
Download (801Kb) |
Description/Abstract
Soft biometrics is a new form of biometric identification which utilizes human descriptions of a subject’s physical appearance. Although these descriptions intuitively have less discriminatory capability than traditional biometric approaches, they are able to retrieve and recognize subjects based solely on a human description. To permit soft biometric identification the human description must be accurate, yet conventional human descriptions comprising of absolute labels and estimations are often unreliable. In this paper we introduce a novel method of human description which utilizes comparative descriptors derived from visual comparisons between subjects. This innovative approach to obtaining human descriptions has been shown to counter many problems associated with absolute categorical labels. Comparative categorical labels are objective and can be used to infer descriptive continuous relative measurements. The resulting biometric signatures have been demonstrated to differ significantly from absolute descriptions allowing improved retrieval of subjects and could even be used to increase the accuracy of witness description in crime analysis.
| Item Type: | Conference or Workshop Item (Poster) |
|---|---|
| Additional Information: | Event Dates: 3-4 November 2011 |
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control |
| Item ID: | 272977 |
| Date Deposited: | 07 Nov 2011 09:55 |
| Last Modified: | 04 Apr 2012 13:03 |
| Contributors: | Reid, Daniel (Author) Nixon, Mark (Author) Stevenage, Sarah (Author) |
| Date: | 3 November 2011 |
| Additional Information: | Event Dates: 3-4 November 2011 |
| Status: | Published |
| Further Information: | Google Scholar |
| URI: | http://eprints.soton.ac.uk/id/eprint/272977 |
Actions (login required)
![]() |
View Item |


