A Model Based Framework for Object Detection via Data Transformation - Softcover

Guo, Peifang; Bhattacharya, Prabir

Softcover

ISBN 10: 3659494577 ISBN 13: 9783659494574

Verlag: LAP LAMBERT Academic Publishing, 2013

Inhaltsangabe

The dynamic synthesis of nonlinear feature functions is a challenging problem in object detection. This book presents a combinatorial approach of genetic programming and the expectation maximization algorithm (GP-EM) to synthesize nonlinear feature functions automatically for the purpose of object detection. The EM algorithm investigates the use of Gaussian mixture which is able to model the behaviour of the training samples during an optimal GP search strategy. Based on the Gaussian probability assumption, the GP-EM method is capable of performing simultaneously dynamic feature synthesis and model-based generalization. The EM part of the approach leads to the application of the maximum likelihood (ML) operation which provides protection against inter-cluster data separation and thus exhibits improved convergence. The experimental results show that the approach improves the detection accuracy and efficiency of pattern object discovery, as compared to some state-of-the-art methods for object detection existing in the literature.

Über diesen Titel

Über die Autorin bzw. den Autor

Peifang Guo:Postdoctoral researcher at University of Cincinnati in USA; Prabir Bhattacharya: Professor at University of Cincinnati in USA.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2013
• Sprache: Englisch
• ISBN 10: 3659494577
• ISBN 13: 9783659494574
• Einband: Taschenbuch
• Anzahl der Seiten: 64
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Editions Muse; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland