Automatic detection and recognition of stationary motorized vehicles in infrared images

Bento A. Brazio Correia; Joao Dinis; Roger Davies

doi:10.1117/12.359944

24 August 1999 Automatic detection and recognition of stationary motorized vehicles in infrared images

Bento A. Brazio Correia, Joao Dinis, Roger Davies

Proceedings Volume 3718, Automatic Target Recognition IX; (1999) https://doi.org/10.1117/12.359944
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Bento A. Brazio Correia, Joao Dinis, and Roger Davies "Automatic detection and recognition of stationary motorized vehicles in infrared images", Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); https://doi.org/10.1117/12.359944

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