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Object Recognition Using a Dynamic Learning Approach

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Object Recognition Using a Dynamic Learning Approach Bi-Yao Zhuang
Koda Libristo: 18369304
Založba LAP Lambert Academic Publishing, november 2016
Most of the traditional object recognition systems consist of the training phase and the testing pha... Celoten opis
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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.

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O knjigi

Polni naslov Object Recognition Using a Dynamic Learning Approach
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2017
Število strani 140
EAN 9786202057585
Koda Libristo 18369304
Teža 227
Mere 150 x 220 x 8
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