Accession Number:

ADA415169

Title:

Person Identification from Video with Multiple Biometric Cues: Benchmarks for Human and Machine Performance

Descriptive Note:

Final rept. 1 Feb 2002-31 Jan 2003

Corporate Author:

TEXAS UNIV AT DALLAS RICHARDSON SCHOOLOF HUMAN DEVELOPMENT

Personal Author(s):

Report Date:

2003-01-01

Pagination or Media Count:

9.0

Abstract:

We have compiled a database of images and videos that includes images and videos of approximately 300 human participants. Duplicate sets of images and videos taken from 1 week to 6 months after the first set are available for approximately 200 of these people. The images include 9 standard mug shot poses. The videos include head rotations, dynamic facial expressions, facial speech clips, and 3 whole-body gait clips. Experiments have been completed comparing the effects of several types of facial motion on face recognition, the effects of face familiarity on recognition from video clips taken at a distance, and on the effects of attention on recognition of moving faces. The results of these studies provide insight into the way motion can facilitate or interfere with the encoding of the invariant face and body features that support recognition.

Subject Categories:

  • Anatomy and Physiology
  • Photography
  • Biomedical Instrumentation and Bioengineering

Distribution Statement:

APPROVED FOR PUBLIC RELEASE