Name: A Model Based Framework for Object Detection via Data Transformation (en Inglés)
Price: 44630.00 CLP
Availability: InStock
Author: Guo, Peifang ; Bhattacharya, Prabir
ISBN: 9783659494574

portada A Model Based Framework for Object Detection via Data Transformation (en Inglés)

Formato

Libro Físico

Autor

Peifang Guo

Prabir Bhattacharya

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 0.4 cm

Peso

0.10 kg.

ISBN13

9783659494574

Categorías

Tecnología: cuestiones generales

A Model Based Framework for Object Detection via Data Transformation (en Inglés)

Peifang Guo (Autor) · Prabir Bhattacharya (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "A Model Based Framework for Object Detection via Data Transformation (en Inglés)"

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.