Pattern Recognition and Tracking Using Correlation Filters

Name: Pattern Recognition and Tracking Using Correlation Filters
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 9783639042504
Price: 377.47 RON
Availability: InStock

With Applications to Forward Looking Infrared Imagery

Autor: Sharif M a Bhuiyan

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Legare: Carte broșată

Editura: VDM Verlag Dr. Mueller E.K.

Disponibilitate: În depozitul extern

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377.47 lei

Four correlation filters, namely, maximum average correlation height (MACH), extended MACH (EMACH),...

Informații despre carte

Autor

Sharif M a Bhuiyan

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2008

Pagini

168

EAN

9783639042504

ISBN

3639042506

Enbook ID

06813836

Editura

VDM Verlag Dr. Mueller E.K.

Greutate

238

Dimensiuni

155 x 230 x 9

Descriere completă

Four correlation filters, namely, maximum average correlation height (MACH), extended MACH (EMACH), distance classifier correlation filter (DCCF) and polynomial DCCF (PDCCF) are employed to recognize and track single and multiple identical and/or dissimilar targets. The MACH and EMACH filters are used for detection while DCCF and PDCCF filters are utilized for classification. Three different two-step algorithms are developed, based on the combination of the filters, called MACH-DCCF, MACH-PDCCF and EMACH-PDCCF algorithms. In the first step, the input scene is correlated with all the detection filters (one for each desired target class) and the resulting correlation outputs are combined. Then a predefined number of regions of interest (ROI) are selected from the input scene based on the higher correlation peak values. In the second step, a classification filter is applied to these ROIs to identify target types and reject clutters and backgrounds. Moving target tracking is accomplished by applying this technique independently to all incoming image frames. Simulation results are given for the proposed algorithms using forward looking infrared (FLIR) imagery.

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Pattern Recognition and Tracking Using Correlation Filters

With Applications to Forward Looking Infrared Imagery

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Descriere completă

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