Object Recognition Using a Dynamic Learning Approach

Name: Object Recognition Using a Dynamic Learning Approach
Brand: LAP Lambert Academic Publishing
SKU: 9786202057585
Price: 41.24 EUR
Availability: InStock

Автор: Bi-Yao Zhuang

Език:

Корици: С меки корици

Издател: LAP Lambert Academic Publishing

Наличност: Външен склад

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41.24 € 80.65 лв

Most of the traditional object recognition systems consist of the training phase and the testing pha...

Информация за книгата

Автор

Bi-Yao Zhuang

Език

Английски език

Корици

Книга - С меки корици

Издадена

2017

страници

140

EAN

9786202057585

Enbook ID

18369304

Издател

LAP Lambert Academic Publishing

Теглоt

227

Размери

150 x 220 x 8

Пълно описание

Most of the traditional object recognition systems consist of the training phase and the testing phase. Once the modules have been built at the training phase, these modules can't be adjusted anymore. So if there're other new images to be added later, it is necessary back to the training phase to retraining a new module. In addition, these systems aren't designed for mobile devices that are difficult to move around and inflexible. - In view of this, this book proposes a system with SEG as the front-end equipment and a back-end object recognition system to identify an object. This book is divided into two parts: moving object segmentation and object recognition. For the first part, in order to improve the accuracy of object recognition, this book integrates optical flow, CamShift, and GrabCut to achieve a high accuracy by shaking the object to be recognized in hand. In the second part, in the dynamic learning process, simultaneously based on the quality of recognition result to determine which strategy to adopt to adjust the database module to the best state at any time. In addition, the system also uses the function of Google search by image, to recognize those untrained images.

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Object Recognition Using a Dynamic Learning Approach

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