Algorithm of feature estimation for real time objects detection in thermal images

Authors:
Snejana Pleshkova
Affiliations:
Department of Telecommunications, Technical University, Sofia
Venue:
CIMMACS'11/ISP'11 Proceedings of the 10th WSEAS international conference on Computational Intelligence, Man-Machine Systems and Cybernetics, and proceedings of the 10th WSEAS international conference on Information Security and Privacy
Year:
2011

Citing 2
Cited 0

2d Object Detection and Recognition: Models, Algorithms, and Networks

2d Object Detection and Recognition: Models, Algorithms, and Networks
Object Recognition with Informative Features and Linear Classification

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

Objects detection in thermal or infrared images is an actual and necessary problem in wide range of thermo visual systems applications. The goal of this article is to select a suitable set of features for objects detection in thermal images. Using the objective methods and subjective expert estimation it is proposed a minimal numbers of features satisfying the conditions of real time objects detection with a preliminary defined precision for a chosen class of object hidden in dress or baggage of people. The chosen set of features is applied in the development of a real time embedded digital signal processor module in thermo vision information system for customs control and combating terrorism.