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Proceedings Paper

Automatic detection and recognition of stationary motorized vehicles in infrared images
Author(s): Bento A. Brazio Correia; Joao Dinis; Roger Davies
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Paper Abstract

This paper presents an algorithmic approach for the automatic detection and recognition of stationary motorized vehicles in infrared images. Covering the whole object recognition processing chain, robust solutions are proposed for the preprocessing, detection and segmentation steps, with particular emphasis on the feature extraction and final classification stages. The segmentation process consists of a graph based analysis strategy that group high level features such as hot regions and contour segments of pre-specified types into bounding rectangles of the potentially relevant objects. Feature extraction proceeds with the superimposition of a grid of a predefined number of equally sized cells onto the bounding rectangular window determined for each potential target. From the measurements evaluated for each cell it is built a feature vector that feeds a supervised neural network classifier, aiming to perform a coarse recognition of the detected targets.

Paper Details

Date Published: 24 August 1999
PDF: 12 pages
Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); doi: 10.1117/12.359944
Show Author Affiliations
Bento A. Brazio Correia, Instituto Nacional de Engenharia e Tecnologia Industrial (Portugal)
Joao Dinis, Instituto Nacional de Engenharia e Tecnologia Industrial (Portugal)
Roger Davies, Instituto Nacional de Engenharia e Tecnologia Industrial (Portugal)


Published in SPIE Proceedings Vol. 3718:
Automatic Target Recognition IX
Firooz A. Sadjadi, Editor(s)

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