Share Email Print

Proceedings Paper

A non-cooperative long-range biometric image tracking and recognition (BITAR) method for maritime surveillance
Author(s): Xiaokun Li; Genshe Chen; Erik Blasch; Harold H. Szu; Thomas McKenna
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

To address the challenges on non-cooperative long-distance human authentication, identification, and verification; we propose an innovative scheme for developing a robust and automatic long-range biometric recognition system by combining face recognition and iris recognition of non-cooperative individuals in 24/7 operations. The system consists of three cameras. One is a wide field of view (WFOV) CCD video camera with InfraRed (IR) filter and powerful IR illuminators for human scan in a wide area and from a long distance. The other two cameras are high resolution video cameras with narrow field of view (NFOV) and IR filter & illuminators, mounted on a pan-tilt-unit (PTU) to capture the frontal view of human face and iris respectively. The WFOV detects the person and the NFOV cameras extract details for person identification. Once the frontal view shots are captured by the NFOV cameras, the face/iris models will be extracted by applying the state-of-the-art face/iris recognizers. In addition, a multimodality fusion approach integrates the face and iris recognition results to improve the overall recognition performance.

Paper Details

Date Published: 3 April 2008
PDF: 10 pages
Proc. SPIE 6979, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI, 697905 (3 April 2008); doi: 10.1117/12.777443
Show Author Affiliations
Xiaokun Li, Intelligent Automation, Inc. (United States)
Genshe Chen, DCM Research Resources, LLC (United States)
Erik Blasch, Air Force Research Lab. (United States)
Harold H. Szu, Office of Naval Research (United States)
Thomas McKenna, Office of Naval Research (United States)

Published in SPIE Proceedings Vol. 6979:
Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI
Harold H. Szu; F. Jack Agee, Editor(s)

© SPIE. Terms of Use
Back to Top