Accession Number:

ADA523342

Title:

Pedestrian Validation in Infrared Images by Means of Active Contours and Neural Networks

Descriptive Note:

Research article

Corporate Author:

ARMY TANK-AUTOMOTIVE RESEARCH AND DEVELOPMENT CENTER WARREN MI VETRONICS TECHNOLOGY AREA

Report Date:

2010-01-01

Pagination or Media Count:

13.0

Abstract:

This paper presents two different modules for the validation of human shape presence in far-infrared images. These modules are part of a more complex system aimed at the detection of pedestrians by means of the simultaneous use of two stereo vision systems in both far-infrared and daylight domains. The first module detects the presence of a human shape in a list of areas of attention using active contours to detect the object shape and evaluating the results by means of a neural network. The second validation subsystem directly exploits a neural network for each area of attention in the far-infrared images and produces a list of votes.

Subject Categories:

  • Miscellaneous Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE