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Object Recognition Using a Dynamic Learning Approach

Name: Object Recognition Using a Dynamic Learning Approach
Brand: LAP Lambert Academic Publishing
SKU: 18369304
Price: 39.59 EUR
Availability: InStock
Author: Bi-Yao Zhuang
ISBN: 9786202057585

Bi-Yao Zhuang

Language

English

Book Paperback

Libristo code: 18369304

Publishers LAP Lambert Academic Publishing, November 2016

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

Libristo code: 18369304

97 b

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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.